Podcasts about Amazon Web Services

Raj Koo, CTO of DTEX Systems, discusses how their enterprise-grade generative AI platform detects and disarms insider threats and enables them to stay ahead of evolving risks.Topics Include:Raj Koo, CTO of DTEX Systems, joins from Adelaide to discuss insider threat detectionDTEX evolved from Adelaide startup to Bay Area headquarters, serving Fortune 500 companiesCompany specializes in understanding human behavior and intention behind insider threatsMarket shifting beyond cyber indicators to focus on behavioral analysis and detectionRecent case: US citizen sold identity to North Korean DPRK IT workersForeign entities used stolen credentials to infiltrate American companies undetectedDTEX's behavioral detection systems helped identify this sophisticated identity theft operationGenerative AI becomes double-edged sword - used by both threat actors and defendersBad actors use AI for fake resumes and deepfake interviewsDTEX uses traditional machine learning for risk modeling, GenAI for analyst interpretationGoal is empowering security analysts to work faster, not replacing human expertiseAWS GenAI Innovation Center helped develop guardrails and usage boundaries for enterpriseChallenge: enterprises must follow rules while hackers operate without ethical constraintsDTEX gains advantage through proprietary datasets unavailable to public AI modelsAWS Bedrock partnership enables private, co-located language models for data securityPrivate preview launched February 2024 with AWS Innovation Center acceleration supportSoftware leaders should prioritize privacy-by-design from day one of GenAI adoptionFuture threat: information sharing shifts from files to AI-powered data queriesMonitoring who asks what questions of AI systems becomes critical security concernDTEX contributes to OpenSearch development while building vector databases for analysisParticipants:Rajan Koo – Chief Technology Officer, DTEX SystemsFurther Links:DTEX Systems WebsiteDTEX Systems AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Amazon Web Services, Microsoft Azure, and Google Cloud dominate the infrastructure-as-a-service market, controlling 71% of the market share. This concentration is driven by the rapid growth of artificial intelligence, with global cloud spending projected to exceed $700 billion in 2025. The economic impact of AI is significant, as evidenced by Microsoft reaching a $4 trillion valuation, largely due to investments in AI infrastructure. However, this boom has created challenges for recent computer science graduates, who are struggling to find jobs in a tech industry that is increasingly adopting AI tools while simultaneously laying off employees.The job market for young tech workers is deteriorating, with unemployment rates for those aged 20 to 30 rising sharply. Economists warn of a potential "jobless recovery" for white-collar roles, as AI continues to replace routine jobs. The share of tech jobs peaked in late 2022 but has since declined, leaving graduates questioning the reliability of traditional pathways into tech careers. This shift highlights the need for companies to reassess their hiring practices and adapt to the changing landscape influenced by AI.In a concerning development, researchers have identified vulnerabilities in Google's Gemini AI Assistant that could allow attackers to hijack smart devices through manipulated calendar invites. These vulnerabilities pose significant risks as AI becomes more integrated into everyday applications. Although Google has addressed these issues, the potential for exploitation raises alarms about the security of AI systems and the importance of implementing strict controls and user training to mitigate risks.The recent launch of GPT-5 by OpenAI has sparked disappointment among users, leading to a petition for a return to the previous model. Many users feel that GPT-5 does not offer substantial improvements over its predecessor, resulting in a significant drop in OpenAI's perceived leadership in AI. This disconnect between advanced AI tools available at home and outdated technology in the workplace is causing dissatisfaction among employees, prompting organizations to evaluate their AI policies and capabilities to retain talent and enhance productivity. Four things to know today 00:00 AI Boom Fuels Cloud Giants' Growth While Squeezing Entry-Level Tech Jobs06:33 Researchers Expose Gemini AI Flaw Allowing Smart Device Hijacking via Calendar Invites08:04 GPT-5 Backlash Highlights AI Leadership Slip and Workplace Adoption Crisis11:06 Intel CEO Goes from “Conflict Risk” to “Success” in Trump's Eyes  Supported by:  https://scalepad.com/dave/https://www.moovila.com/ Tell us about a newsletter https://bit.ly/biztechnewsletter  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Master the art of strategic technology investment with AWS Enterprise Finance Strategist Chris Hennesey as he reveals how to transform your CFO relationship from gatekeeper to strategic partner. As a former IT CFO drawing from decades of financial services leadership, Hennesey shares insider perspectives on how technology leaders can effectively champion initiatives while demonstrating exceptional fiscal stewardship. He emphasizes that success isn't about securing bigger budgets, but about strategic resource optimization and compelling value communication. From evaluating generative AI opportunities to presenting to the board, this episode delivers invaluable insights for technology leaders looking to strengthen their financial partnerships. Don't miss this masterclass in building the technology-finance relationships that drive digital transformation!

Enterprise AI leaders from C3 AI, Resolve AI, and Scale AI reveal how Fortune 100 companies are successfully scaling agentic AI from pilots to production and share secrets for successful AI transformation.Topics Include:Panel introduces three AI leaders from Resolve AI, C3 AI, and Scale AIResolve AI builds autonomous site reliability engineers for production incident responseC3 AI provides full-stack platform for developing enterprise agentic AI workflowsScale AI helps Fortune 100 companies adopt agents with private data integrationMoving from AI pilots to production requires custom solutions, not shrink-wrap softwareSuccess demands working directly with customers to understand their specific workflowsAll enterprise AI solutions need well-curated access to internal data and resourcesSoftware engineering has permanently shifted to agentic coding with no going backAI agents rapidly improving in reasoning, tool use, and contextual understandingIndustry moving from simple co-pilots to agents solving complex multi-step problemsSpiros coins new concept: evolving from "systems of record" to "systems of knowledge"Democratized development platforms let enterprises declare their own agent workflowsSemantic business layers enable agents to understand domain-specific enterprise operationsTrust and observability remain major barriers to enterprise agent adoptionOversight layers essential for agents making longer-horizon autonomous business decisionsPerformance tracking and calibration systems needed like MLOps for reasoning chainsCEO-level top-down support required for successful AI transformation initiativesTraditional per-seat SaaS pricing models completely broken for agentic AI solutionsIndustry shifting toward outcome-based and work-completion pricing models insteadReal examples shared: agent collaboration in production engineering and sales automationParticipants:Nikhil Krishnan – SVP & Chief Technology Officer, Data Science, C3 AISpiros Xanthos – Founder and CEO, Resolve AIVijay Karunamurthy – Head of Engineering, Product and Design / Field Chief Technology Officer, Scale AIAndy Perkins – GM, US ISV Sales – Data, Analytics, GenAI, Amazon Web ServicesFurther Links:C3 – Website – AWS MarketplaceResolve AI – Website – AWS MarketplaceScale AI – Website – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

A version of this essay has been published by firstpost.com at https://www.firstpost.com/opinion/shadow-warrior-from-crisis-to-advantage-how-india-can-outplay-the-trump-tariff-gambit-13923031.htmlA simple summary of the recent brouhaha about President Trump's imposition of 25% tariffs on India as well as his comment on India's ‘dead economy' is the following from Shakespeare's Macbeth: “full of sound and fury, signifying nothing”. Trump further imposed punitive tariffs totalling 50% on August 6th allegedly for India funding Russia's war machine via buying oil.As any negotiator knows, a good opening gambit is intended to set the stage for further parleys, so that you could arrive at a negotiated settlement that is acceptable to both parties. The opening gambit could well be a maximalist statement, or one's ‘dream outcome', the opposite of which is ‘the walkway point' beyond which you are simply not willing to make concessions. The usual outcome is somewhere in between these two positions or postures.Trump is both a tough negotiator, and prone to making broad statements from which he has no problem retreating later. It's down-and-dirty boardroom tactics that he's bringing to international trade. Therefore I think Indians don't need to get rattled. It's not the end of the world, and there will be climbdowns and adjustments. Think hard about the long term.I was on a panel discussion on this topic on TV just hours after Trump made his initial 25% announcement, and I mentioned an interplay between geo-politics and geo-economics. Trump is annoyed that his Ukraine-Russia play is not making much headway, and also that BRICS is making progress towards de-dollarization. India is caught in this crossfire (‘collateral damage') but the geo-economic facts on the ground are not favorable to Trump.I am in general agreement with Trump on his objectives of bringing manufacturing and investment back to the US, but I am not sure that he will succeed, and anyway his strong-arm tactics may backfire. I consider below what India should be prepared to do to turn adversity into opportunity.The anti-Thucydides Trap and the baleful influence of Whitehall on Deep StateWhat is remarkable, though, is that Trump 2.0 seems to be indistinguishable from the Deep State: I wondered last month if the Deep State had ‘turned' Trump. The main reason many people supported Trump in the first place was the damage the Deep State was wreaking on the US under the Obama-Biden regime. But it appears that the resourceful Deep State has now co-opted Trump for its agenda, and I can only speculate how.The net result is that there is the anti-Thucydides Trap: here is the incumbent power, the US, actively supporting the insurgent power, China, instead of suppressing it, as Graham Allison suggested as the historical pattern. It, in all fairness, did not start with Trump, but with Nixon in China in 1971. In 1985, the US trade deficit with China was $6 million. In 1986, $1.78 billion. In 1995, $35 billion.But it ballooned after China entered the WTO in 2001. $202 billion in 2005; $386 billion in 2022.In 2025, after threatening China with 150% tariffs, Trump retreated by postponing them; besides he has caved in to Chinese demands for Nvidia chips and for exemptions from Iran oil sanctions if I am not mistaken.All this can be explained by one word: leverage. China lured the US with the siren-song of the cost-leader ‘China price', tempting CEOs and Wall Street, who sleepwalked into surrender to the heft of the Chinese supply chain.Now China has cornered Trump via its monopoly over various things, the most obvious of which is rare earths. Trump really has no option but to give in to Chinese blackmail. That must make him furious: in addition to his inability to get Putin to listen to him, Xi is also ignoring him. Therefore, he will take out his frustrations on others, such as India, the EU, Japan, etc. Never mind that he's burning bridges with them.There's a Malayalam proverb that's relevant here: “angadiyil thottathinu ammayodu”. Meaning, you were humiliated in the marketplace, so you come home and take it out on your mother. This is quite likely what Trump is doing, because he believes India et al will not retaliate. In fact Japan and the EU did not retaliate, but gave in, also promising to invest large sums in the US. India could consider a different path: not active conflict, but not giving in either, because its equations with the US are different from those of the EU or Japan.Even the normally docile Japanese are beginning to notice.Beyond that, I suggested a couple of years ago that Deep State has a plan to enter into a condominium agreement with China, so that China gets Asia, and the US gets the Americas and the Pacific/Atlantic. This is exactly like the Vatican-brokered medieval division of the world between Spain and Portugal, and it probably will be equally bad for everyone else. And incidentally it makes the Quad infructuous, and deepens distrust of American motives.The Chinese are sure that they have achieved the condominium, or rather forced the Americans into it. Here is a headline from the Financial Express about their reaction to the tariffs: they are delighted that the principal obstacle in their quest for hegemony, a US-India military and economic alliance, is being blown up by Trump, and they lose no opportunity to deride India as not quite up to the mark, whereas they and the US have achieved a G2 detente.Two birds with one stone: gloat about the breakdown in the US-India relationship, and exhibit their racist disdain for India yet again.They laugh, but I bet India can do an end-run around them. As noted above, the G2 is a lot like the division of the world into Spanish and Portuguese spheres of influence in 1494. Well, that didn't end too well for either of them. They had their empires, which they looted for gold and slaves, but it made them fat, dumb and happy. The Dutch, English, and French capitalized on more dynamic economies, flexible colonial systems, and aggressive competition, overtaking the Iberian powers in global influence by the 17th century. This is a salutary historical parallel.I have long suspected that the US Deep State is being led by the nose by the malign Whitehall (the British Deep State): I call it the ‘master-blaster' syndrome. On August 6th, there was indirect confirmation of this in ex-British PM Boris Johnson's tweet about India. Let us remember he single-handedly ruined the chances of a peaceful resolution of the Ukraine War in 2022. Whitehall's mischief and meddling all over, if you read between the lines.Did I mention the British Special Force's views? Ah, Whitehall is getting a bit sloppy in its propaganda.Wait, so is India important (according to Whitehall) or unimportant (according to Trump)?Since I am very pro-American, I have a word of warning to Trump: you trust perfidious Albion at your peril. Their country is ruined, and they will not rest until they ruin yours too.I also wonder if there are British paw-prints in a recent and sudden spate of racist attacks on Indians in Ireland. A 6-year old girl was assaulted and kicked in the private parts. A nurse was gang-raped by a bunch of teenagers. Ireland has never been so racist against Indians (yes, I do remember the sad case of Savita Halappanavar, but that was religious bigotry more than racism). And I remember sudden spikes in anti-Indian attacks in Australia and Canada, both British vassals.There is no point in Indians whining about how the EU and America itself are buying more oil, palladium, rare earths, uranium etc. from Russia than India is. I am sorry to say this, but Western nations are known for hypocrisy. For example, exactly 80 years ago they dropped atomic bombs on Hiroshima and Nagasaki in Japan, but not on Germany or Italy. Why? The answer is uncomfortable. Lovely post-facto rationalization, isn't it?Remember the late lamented British East India Company that raped and pillaged India?Applying the three winning strategies to geo-economicsAs a professor of business strategy and innovation, I emphasize to my students that there are three broad ways of gaining an advantage over others: 1. Be the cost leader, 2. Be the most customer-intimate player, 3. Innovate. The US as a nation is patently not playing the cost leader; it does have some customer intimacy, but it is shrinking; its strength is in innovation.If you look at comparative advantage, the US at one time had strengths in all three of the above. Because it had the scale of a large market (and its most obvious competitors in Europe were decimated by world wars) America did enjoy an ability to be cost-competitive, especially as the dollar is the global default reserve currency. It demonstrated this by pushing through the Plaza Accords, forcing the Japanese yen to appreciate, destroying their cost advantage.In terms of customer intimacy, the US is losing its edge. Take cars for example: Americans practically invented them, and dominated the business, but they are in headlong retreat now because they simply don't make cars that people want outside the US: Japanese, Koreans, Germans and now Chinese do. Why were Ford and GM forced to leave the India market? Their “world cars” are no good in value-conscious India and other emerging markets.Innovation, yes, has been an American strength. Iconic Americans like Thomas Edison, Henry Ford, and Steve Jobs led the way in product and process innovation. US universities have produced idea after idea, and startups have ignited Silicon Valley. In fact Big Tech and aerospace/armaments are the biggest areas where the US leads these days.The armaments and aerospace tradeThat is pertinent because of two reasons: one is Trump's peevishness at India's purchase of weapons from Russia (even though that has come down from 70+% of imports to 36% according to SIPRI); two is the fact that there are significant services and intangible imports by India from the US, of for instance Big Tech services, even some routed through third countries like Ireland.Armaments and aerospace purchases from the US by India have gone up a lot: for example the Apache helicopters that arrived recently, the GE 404 engines ordered for India's indigenous fighter aircraft, Predator drones and P8-i Poseidon maritime surveillance aircraft. I suspect Trump is intent on pushing India to buy F-35s, the $110-million dollar 5th generation fighters.Unfortunately, the F-35 has a spotty track record. There were two crashes recently, one in Albuquerque in May, and the other on July 31 in Fresno, and that's $220 million dollars gone. Besides, the spectacle of a hapless British-owned F-35B sitting, forlorn, in the rain, in Trivandrum airport for weeks, lent itself to trolls, who made it the butt of jokes. I suspect India has firmly rebuffed Trump on this front, which has led to his focus on Russian arms.There might be other pushbacks too. Personally, I think India does need more P-8i submarine hunter-killer aircraft to patrol the Bay of Bengal, but India is exerting its buyer power. There are rumors of pauses in orders for Javelin and Stryker missiles as well.On the civilian aerospace front, I am astonished that all the media stories about Air India 171 and the suspicion that Boeing and/or General Electric are at fault have disappeared without a trace. Why? There had been the big narrative push to blame the poor pilots, and now that there is more than reasonable doubt that these US MNCs are to blame, there is a media blackout?Allegations about poor manufacturing practices by Boeing in North Charleston, South Carolina by whistleblowers have been damaging for the company's brand: this is where the 787 Dreamliners are put together. It would not be surprising if there is a slew of cancellations of orders for Boeing aircraft, with customers moving to Airbus. Let us note Air India and Indigo have placed some very large, multi-billion dollar orders with Boeing that may be in jeopardy.India as a consuming economy, and the services trade is hugely in the US' favorMany observers have pointed out the obvious fact that India is not an export-oriented economy, unlike, say, Japan or China. It is more of a consuming economy with a large, growing and increasingly less frugal population, and therefore it is a target for exporters rather than a competitor for exporting countries. As such, the impact of these US tariffs on India will be somewhat muted, and there are alternative destinations for India's exports, if need be.While Trump has focused on merchandise trade and India's modest surplus there, it is likely that there is a massive services trade, which is in the US' favor. All those Big Tech firms, such as Microsoft, Meta, Google and so on run a surplus in the US' favor, which may not be immediately evident because they route their sales through third countries, e.g. Ireland.These are the figures from the US Trade Representative, and quite frankly I don't believe them: there are a lot of invisible services being sold to India, and the value of Indian data is ignored.In addition to the financial implications, there are national security concerns. Take the case of Microsoft's cloud offering, Azure, which arbitrarily turned off services to Indian oil retailer Nayara on the flimsy grounds that the latter had substantial investment from Russia's Rosneft. This is an example of jurisdictional over-reach by US companies, which has dire consequences. India has been lax about controlling Big Tech, and this has to change.India is Meta's largest customer base. Whatsapp is used for practically everything. Which means that Meta has access to enormous amounts of Indian customer data, for which India is not even enforcing local storage. This is true of all other Big Tech (see OpenAI's Sam Altman below): they are playing fast and loose with Indian data, which is not in India's interest at all.Data is the new oil, says The Economist magazine. So how much should Meta, OpenAI et al be paying for Indian data? Meta is worth trillions of dollars, OpenAI half a trillion. How much of that can be attributed to Indian data?There is at least one example of how India too can play the digital game: UPI. Despite ham-handed efforts to now handicap UPI with a fee (thank you, brilliant government bureaucrats, yes, go ahead and kill the goose that lays the golden eggs), it has become a contender in a field that has long been dominated by the American duopoly of Visa and Mastercard. In other words, India can scale up and compete.It is unfortunate that India has not built up its own Big Tech behind a firewall as has been done behind the Great Firewall of China. But it is not too late. Is it possible for India-based cloud service providers to replace US Big Tech like Amazon Web Services and Microsoft Azure? Yes, there is at least one player in that market: Zoho.Second, what are the tariffs on Big Tech exports to India these days? What if India were to decide to impose a 50% tax on revenue generated in India through advertisement or through sales of services, mirroring the US's punitive taxes on Indian goods exports? Let me hasten to add that I am not suggesting this, it is merely a hypothetical argument.There could also be non-tariff barriers as China has implemented, but not India: data locality laws, forced use of local partners, data privacy laws like the EU's GDPR, anti-monopoly laws like the EU's Digital Markets Act, strict application of IPR laws like 3(k) that absolutely prohibits the patenting of software, and so on. India too can play legalistic games. This is a reason US agri-products do not pass muster: genetically modified seeds, and milk from cows fed with cattle feed from blood, offal and ground-up body parts.Similarly, in the ‘information' industry, India is likely to become the largest English-reading country in the world. I keep getting come-hither emails from the New York Times offering me $1 a month deals on their product: they want Indian customers. There are all these American media companies present in India, untrammelled by content controls or taxes. What if India were to give a choice to Bloomberg, Reuters, NYTimes, WaPo, NPR et al: 50% tax, or exit?This attack on peddlers of fake information and manufacturing consent I do suggest, and I have been suggesting for years. It would make no difference whatsoever to India if these media outlets were ejected, and they surely could cover India (well, basically what they do is to demean India) just as well from abroad. Out with them: good riddance to bad rubbish.What India needs to doI believe India needs to play the long game. It has to use its shatrubodha to realize that the US is not its enemy: in Chanakyan terms, the US is the Far Emperor. The enemy is China, or more precisely the Chinese Empire. Han China is just a rump on their south-eastern coast, but it is their conquered (and restive) colonies such as Tibet, Xinjiang, Manchuria and Inner Mongolia, that give them their current heft.But the historical trends are against China. It has in the past had stable governments for long periods, based on strong (and brutal) imperial power. Then comes the inevitable collapse, when the center falls apart, and there is absolute chaos. It is quite possible, given various trends, including demographic changes, that this may happen to China by 2050.On the other hand, (mostly thanks, I acknowledge, to China's manufacturing growth), the center of gravity of the world economy has been steadily shifting towards Asia. The momentum might swing towards India if China stumbles, but in any case the era of Atlantic dominance is probably gone for good. That was, of course, only a historical anomaly. Asia has always dominated: see Angus Maddison's magisterial history of the world economy, referred to below as well.I am reminded of the old story of the king berating his court poet for calling him “the new moon” and the emperor “the full moon”. The poet escaped being punished by pointing out that the new moon is waxing and the full moon is waning.This is the long game India has to keep in mind. Things are coming together for India to a great extent: in particular the demographic dividend, improved infrastructure, fiscal prudence, and the increasing centrality of the Indian Ocean as the locus of trade and commerce.India can attempt to gain competitive advantage in all three ways outlined above:* Cost-leadership. With a large market (assuming companies are willing to invest at scale), a low-cost labor force, and with a proven track-record of frugal innovation, India could well aim to be a cost-leader in selected areas of manufacturing. But this requires government intervention in loosening monetary policy and in reducing barriers to ease of doing business* Customer-intimacy. What works in highly value-conscious India could well work in other developing countries. For instance, the economic environment in ASEAN is largely similar to India's, and so Indian products should appeal to their residents; similarly with East Africa. Thus the Indian Ocean Rim with its huge (and in Africa's case, rapidly growing) population should be a natural fit for Indian products* Innovation. This is the hardest part, and it requires a new mindset in education and industry, to take risks and work at the bleeding edge of technology. In general, Indians have been content to replicate others' innovations at lower cost or do jugaad (which cannot scale up). To do real, disruptive innovation, first of all the services mindset should transition to a product mindset (sorry, Raghuram Rajan). Second, the quality of human capital must be improved. Third, there should be patient risk capital. Fourth, there should be entrepreneurs willing to try risky things. All of these are difficult, but doable.And what is the end point of this game? Leverage. The ability to compel others to buy from you.China has demonstrated this through its skill at being a cost-leader in industry after industry, often hollowing out entire nations through means both fair and foul. These means include far-sighted industrial policy including the acquisition of skills, technology, and raw materials, as well as hidden subsidies that support massive scaling, which ends up driving competing firms elsewhere out of business. India can learn a few lessons from them. One possible lesson is building capabilities, as David Teece of UC Berkeley suggested in 1997, that can span multiple products, sectors and even industries: the classic example is that of Nikon, whose optics strength helps it span industries such as photography, printing, and photolithography for chip manufacturing. Here is an interesting snapshot of China's capabilities today.2025 is, in a sense, a point of inflection for India just as the crisis in 1991 was. India had been content to plod along at the Nehruvian Rate of Growth of 2-3%, believing this was all it could achieve, as a ‘wounded civilization'. From that to a 6-7% growth rate is a leap, but it is not enough, nor is it testing the boundaries of what India can accomplish.1991 was the crisis that turned into an opportunity by accident. 2025 is a crisis that can be carefully and thoughtfully turned into an opportunity.The Idi Amin syndrome and the 1000 Talents program with AIThere is a key area where an American error may well be a windfall for India. This is based on the currently fashionable H1-B bashing which is really a race-bashing of Indians, and which has been taken up with gusto by certain MAGA folks. Once again, I suspect the baleful influence of Whitehall behind it, but whatever the reason, it looks like Indians are going to have a hard time settling down in the US.There are over a million Indians on H1-Bs, a large number of them software engineers, let us assume for convenience there are 250,000 of them. Given country caps of exactly 9800 a year, they have no realistic chance of getting a Green Card in the near future, and given the increasingly fraught nature of life there for brown people, they may leave the US, and possibly return to India..I call this the Idi Amin syndrome. In 1972, the dictator of Uganda went on a rampage against Indian-origin people in his country, and forcibly expelled 80,000 of them, because they were dominating the economy. There were unintended consequences: those who were ejected mostly went to the US and UK, and they have in many cases done well. But Uganda's economy virtually collapsed.That's a salutary experience. I am by no means saying that the US economy would collapse, but am pointing to the resilience of the Indians who were expelled. If, similarly, Trump forces a large number of Indians to return to India, that might well be a case of short-term pain and long-term gain: urvashi-shapam upakaram, as in the Malayalam phrase.Their return would be akin to what happened in China and Taiwan with their successful effort to attract their diaspora back. The Chinese program was called 1000 Talents, and they scoured the globe for academics and researchers of Chinese origin, and brought them back with attractive incentives and large budgets. They had a major role in energizing the Chinese economy.Similarly, Taiwan with Hsinchu University attracted high-quality talent, among which was the founder of TSMC, the globally dominant chip giant.And here is Trump offering to India on a platter at least 100,000 software engineers, especially at a time when generativeAI is decimating low-end jobs everywhere. They can work on some very compelling projects that could revolutionize Indian education, up-skilling and so on, and I am not at liberty to discuss them. Suffice to say that these could turbo-charge the Indian software industry and get it away from mundane, routine body-shopping type jobs.ConclusionThe Trump tariff tantrum is definitely a short-term problem for India, but it can be turned around, and turned into an opportunity, if only the country plays its cards right and focuses on building long-term comparative advantages and accepting the gift of a mis-step by Trump in geo-economics.In geo-politics, India and the US need each other to contain China, and so that part, being so obvious, will be taken care of more or less by default.Thus, overall, the old SWOT analysis: strengths, weaknesses, opportunities and threats. On balance, I am of the opinion that the threats contain in them the germs of opportunities. It is up to Indians to figure out how to take advantage of them. This is your game to win or lose, India!4150 words, 9 Aug 2025 This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit rajeevsrinivasan.substack.com/subscribe

Episode Summary: In this chapter of the landmark 100th episode of the "90 Miles from Needles" podcast, journalist David Morales, known for his insightful "Three Sonorans" newsletter, joins the discussion to unravel the complexities behind this development and how a community united to challenge a potentially devastating project. The episode highlights how Project Blue, backed by Amazon Web Services, planned to establish a massive data center in Tucson, Arizona. This project raised alarm due to its anticipated consumption of scarce desert resources, including water and energy. Community activists scrutinized the implications of this center, revealing its environmental impact and the economic motivations linked to enticing tax exemptions. Morales passionately articulates the broader significance of this victory and how it exemplifies a stand against exploitative initiatives pushing the limits of desert environments. The episode educates listeners on the historical connections of resource extraction in Arizona, the racial aspects of environmental degradation, and the importance of thoughtful modern policies that respect both indigenous heritage and future sustainability. With phrases like "manifest destiny" still ringing true in new forms today, this episode serves as an inspiring example of local advocacy effecting meaningful change. Key Takeaways: Project Blue's proposed data center in Tucson faced significant opposition due to excessive water and energy demands in a desert region. The initiative exemplifies environmental racism and reflects historical patterns of extraction and exploitation in Arizona. Community activism was pivotal in stopping the project, showing the power of collective action in confronting large corporations like Amazon. Kevin Dahl, a Tucson City Council member, took a hard oppositional stance that contributed to the council's unanimous decision to halt the project. The "Three Sonorans" newsletter provides valuable insights into indigenous and progressive perspectives on environmental issues in Tucson. Notable Quotes: "Now's your chance today. Stopping Project Blue is your way of stopping manifest destiny today.""It's all connected because you have energy, you have coal, you have water.""You have to know the history. You have to know all of it together.""They were trying to build this out here because our last governor passed this bill in 2013 to give huge tax incentives to data centers." Resources: David Morales’ "Three Sonorans" Newsletter: https://threesonorans.substack.com Arizona Luminaria: Coverage on the public records request that revealed Amazon's involvement: https://azluminaria.org/2025/07/21/amazon-web-services-is-company-behind-tucsons-project-blue-according-to-2023-county-memo/Become a desert defender!: https://90milesfromneedles.com/donateSee omnystudio.com/listener for privacy information.

It's Friday, August 8th, A.D. 2025. This is The Worldview in 5 Minutes heard on 140 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By Adam McManus ISIS soldiers behead Christians in Mozambique, burning churches International observers are reporting that ISIS-aligned soldiers are beheading Christians and burning churches and homes in central and southern Africa – with some of the most brutal attacks happening in the nation of Mozambique, reports Fox News. The Middle East Media Research Institute – a counter-terrorism nonprofit based in Washington, D.C. – is sounding the alarm about what it describes as a "silent genocide" taking place by Muslim terrorists against Christians.   Alberto Fernandez, their Vice President, spoke to Fox News. FERNANDEZ: “What we see in Africa today is a kind of silent genocide or silent brutal, savage war that is occurring in the shadows and all too often ignored by the international community. We see rampaging jihadist groups from West Africa and even in the south in Mozambique. “The fact, for example, is that jihadist groups are in a position to take over, not one, not two, but several countries in Africa. It is very dangerous for the national security of the United States, let alone the security of the poor people who are there.” Fernandez spoke bluntly about the goal of these Muslim terrorist groups in Africa. FERNANDEZ: “The goal is eliminating Christian communities completely. These jihadist groups want to eliminate all the Christians in that area, take that area over, and keep pushing.” And he's grateful for President Trump's willingness to become involved. FERNANDEZ:  “The President's initiative in stopping the growing war between Rwanda and the Democratic Republic of Congo, its neighbor, is very significant, because this could have become a terrible war. We know that jihadists like to take advantage of vacuums, security vacuums, ungoverned spaces.” The migration agency said Monday that attacks by Muslim insurgents in Mozambique's northern Cabo Delgado province displaced more than 46,000 people in the span of eight days just last month. Sixty percent of those forced from their homes were children. The Muslim jihadists of Africa would do well to follow the advice of Gamaliel, the Pharisee from the time of Christ. In Acts 5:38-39, he said, “Leave these men alone! Let them go! For if their purpose or activity is of human origin, it will fail. But if it is from God, you will not be able to stop these men; you will only find yourselves fighting against God.” Amazon Web Services gives the Trump admin $1 billion coupon In the United States, Amazon Web Services is giving the Trump administration a $1 billion coupon to use their services for the federal government's digital transformation and artificial intelligence capacity, reports Politico.com. On Thursday, the General Services Administration announced a sweeping “OneGov” agreement with Amazon Web Services that would yield up to $1 billion in cost savings for federal agencies shifting to cloud services. But the Amazon deal is not exclusive. Similar OneGov agreements are in the works with other major cloud providers, including Microsoft and Google. Oracle also recently signed a deal giving government agencies a 75% discount on Oracle technology. Trump cancels half billion dollars of federal funding for UCLA over anti-Semitism The Trump administration has canceled $584 million in grants for the University of California in Los Angeles, claiming they did not take a strong enough stance against on-campus anti-Semitism, reports One America News. UCLA recently reached a $6 million settlement with three Jewish students and a Jewish professor who sued the school in a civil rights dispute, claiming pro-Palestinian protesters were permitted to block them from accessing certain areas on campus in 2024. President Donald Trump's office announced that the U.S. Department of Justice's Civil Rights Division found UCLA in violation of the Equal Rights Act of 1964 “by acting with deliberate indifference in creating a hostile educational environment for Jewish and Israeli students.” Catholic priest met homosexual prostitute in church parking lot Clemente Guerrero-Olvera, a Catholic parochial vicar at St. Ann Church in Clayton, North Carolina, was arrested and charged with soliciting prostitution with a 20-year-old man he allegedly met on the homosexual app named Grindr in the church's parking lot, reports LifeSiteNews.com. During an unrelated search for a missing person around 1:00 a.m. on August 4th, a police deputy spotted the young man, identified as Ja'Quavis Brinson, inside a vehicle in St. Ann's parking lot and another man, later identified as Guerrero-Olvera, who ran away, according to the Johnston County Report. The 47-year-old Catholic priest was promptly arrested and charged with felony solicitation of prostitution after an investigation revealed that he had arranged to meet the 20-year-old via Grindr, allegedly for the purpose of engaging in sexual activity. Guerrero-Olvera was booked at the Johnston County Detention Center and later released on a $2,500 secured bond. Brinson of Benson, North Carolina was charged with misdemeanor prostitution.  1 Corinthians 6:9-11 says, “Do not be deceived: neither the sexually immoral, nor adulterers, nor men who practice homosexuality, nor thieves, nor the greedy, nor drunkards, nor revilers, nor swindlers will inherit the kingdom of God.” Two weeks after cancellation, Colbert doubles down on liberal jokes And finally, it's been over two weeks since CBS announced on July 17th that it was cancelling The Late Show with Stephen Colbert as of May 2026. In the first show after the cancellation was announced, the leftist comedian addressed the news. COLBERT: “On Friday, Donald Trump posted, ‘I absolutely love that Colbert got fired. His talent was even less than his ratings.” (audience boos) “Over the weekend, it sunk in that they're killing off our show, but they made one mistake. They left me alive!” (audience laughs) However, Colbert has responded by doubling down on the same liberal jokes and liberal guests that made viewers (and advertising dollars) turn away in the first place, reports Newsbusters.org. According to a new Media Research Center study, Colbert's political jokes targeted conservatives and Republicans 95% of the time, and 100% of his political guests, in the two weeks since his cancellation, were liberals. In the eight episodes from July 21 through July 31, Colbert told 129 jokes about right-leaning individuals or groups compared to only seven about left-leaning people or groups. That 95% disparity is considerably higher than his 2023 number of 86% or 2024 number of 82%. The Late Show has been losing a whopping $40-50 million a year because Colbert has used his network platform to belittle half the country, reports the New York Post. COLBERT: “They pulled the plug on our show because of losses pegged between $40 million and $50 million a year. $40 million is a big number. I could see us losing $24 million, but where would Paramount have possibly spent the other 16 million? Oh, yeah.” (audience laughs) That was a dig, referencing the $16 million settlement CBS' parent company reached with President Trump just weeks ago regarding the deceptive editing of a 60 Minutes interview with Democratic presidential candidate Kamala Harris to aid her candidacy. Here's the edited version which aired on 60 Minutes in a segment with CBS reporter Bill Whitaker. WHITAKER: “But it seems that Prime Minister [Benjamin] Netanyahu is not listening.” HARRIS: “We are not going to stop pursuing what is necessary for the United States to be clear about where we stand on the need for this war to end.” And here is the unedited version, featuring Kamala's signature “word salad” which did not air on 60 Minutes. WHITAKER: “But it seems that Prime Minister Netanyahu is not listening. The Wall Street Journal said that he, that your administration has repeatedly been blindsided by Netanyahu. And in fact, he has rebuffed just about all of your administration's entreaties.” HARRIS: “Well, Bill, [long pause] the work that we have done has resulted in a number of movements in that region by Israel that were very much prompted by, or a result of, many things, including our advocacy for what needs to happen in the region. And we're not going to stop doing that. We're not going to stop pursuing what is necessary for the United States to be clear about where we stand on the need for this war to end.” Exodus 20:16 records the ninth commandment that God gave Moses on Mt. Sinai.  “You shall not bear false witness against your neighbor.” Close And that's The Worldview on this Friday, August 8th, in the year of our Lord 2025. Follow us on X or subscribe for free by Spotify, Amazon Music, or by iTunes or email to our unique Christian newscast at www.TheWorldview.com.  Plus, you can get the Generations app through Google Play or The App Store. I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.

Industry leaders from Automation Anywhere and AWS discuss how modern customer data collection has evolved, and practical strategies for implementing enterprise automation at scale.Topics Include:Automation Anywhere and AWS experts discuss modern enterprise automation strategiesTraditional profiting strategies may not work with today's changing business modelsCustomer data collection methods have evolved across multiple platforms significantlyModern verification processes include automated validation systems and streamlined timelinesBackground check automation is increasingly handled by AI-powered models and systemsStanford's "Wonder Bread" research paper introduced revolutionary enterprise process observation technologyWonder Bread demonstrated AI systems watching and automatically learning hospital workflowsThe technology can author workflows by observing real enterprise processesEnterprise Process Management built around observed behaviors shows promising resultsVerification challenges exist since Wonder Bread research isn't widely publicized yetProcess observation technology could transform how enterprises handle workflow creationSalesforce Wizard Interface dominates many current automation implementations in enterprisesSalesforce Agent Codes offer alternative approaches to traditional automation methodsAWS platform selection involves careful consideration of enterprise integration needsDemo implementations showcase real-world timeline expectations and deployment maturity levelsCurrent automation solutions have reached significant scale across various industriesWorkflow automation differs fundamentally from true agentic intelligence systems capabilitiesAgentic AI demonstrates autonomous decision-making beyond simple rule-based automation processesUnderstanding this distinction helps organizations choose appropriate technology approaches effectivelySession concludes with clarity on modern automation landscape and implementation strategiesParticipants:Pratyush Garikapati – Director of Products, Automation AnywhereSreenath Gotur – Snr Generative AI Specialist, Amazon Web ServicesFurther Links:Automation Anywhere websiteAutomation Anywhere – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Cloud computing giant Amazon Web Services (AWS) has added support for the ML-KEM post-quantum key encapsulation mechanism to secure TLS connections from potential quantum threats. You can listen to all of the Quantum Minute episodes at https://QuantumMinute.com. The Quantum Minute is brought to you by Applied Quantum, a leading consultancy and solutions provider specializing in quantum computing, quantum cryptography, quantum communication, and quantum AI. Learn more at https://AppliedQuantum.com.

The General Services Administration has been on a roll lately, negotiating what it calls OneGov agreements with some of the federal government's biggest IT vendors. On Thursday, GSA announced it has negotiated a governmentwide purchasing agreement with Amazon Web Services that could save agencies up to $1 billion through credits for AWS services. The deal is the latest in a flurry of OneGov agreements GSA has initiated under the Trump administration to consolidate and centralize IT purchasing at scale and unlock greater, consistent savings for civilian agencies, rather than agencies negotiating one-off contracts with vendors themselves. As part of the governmentwide package, AWS has come to the table offering direct incentive credits that could total up to $1 billion in value for cloud services, modernization support and training. The deal will run through Dec. 31, 2028. In addition to streamlining federal IT procurement by working as a single, unified federal entity, GSA's OneGov initiative also aims to work directly with technology developers themselves, rather than intermediaries such as value-added resellers. As such, GSA touts the potential for additional savings by contracting directly with the cloud giant for its services. That deal comes just a day after GSA announced a similar one with OpenAI that will offer its ChatGPT tool to federal agencies for just $1. It marks the artificial intelligence firm's latest effort to expand use of its generative AI chatbot across the federal government. Like the AWS deal, GSA said the agreement with OpenAI supports the White House's AI Action Plan, which encourages widespread adoption of AI in the federal government. Through the partnership, OpenAI's ChatGPT Enterprise product can be purchased by federal agencies for $1 per agency for one year. GSA called this a “deeply discounted rate.” Commenting on the deal, OpenAI CEO Sam Altman said in a statement: “One of the best ways to make sure AI works for everyone is to put it in the hands of the people serving the country.” The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

AWS's Mark Relph draws fascinating parallels between today's AI revolution and the 1900s agricultural mechanization that delivered 2,000% productivity gains, while exploring how agentic AI will fundamentally reshape every aspect of software business models.Topics Include:Mark Relph directs AWS's data and AI partner go-to-market strategy teamHis role focuses on making ISV partners a force multiplier for customer successPreviously ran go-to-market for Amazon Bedrock, AWS's fastest growing service everCurrent AI adoption pace exceeds even the early cloud computing boom yearsHistorical parallel: 1900s agricultural mechanization delivered 2,000% productivity gains and 95% resource reductionFirst commercial self-propelled farming equipment revolutionized entire economies and never looked back500 machines formed the "Harvest Brigade" during WWII, harvesting from Texas to CanadaMark has spoken to 600+ AWS customers about GenAI over two yearsOrganizations range from AI pioneers to those still "fending off pirates" internallyGenAI has become a phenomenal assistant within organizations for content and automationAWS's AI stack has three layers: infrastructure, Bedrock, and applicationsBottom layer provides complete control over training, inference, and custom applicationsMiddle layer Bedrock serves as the "operating system" for generative AI applicationsTop layer offers ready-to-use AI through Q assistants and productivity toolsAI systems are rapidly becoming more complex with multiple model chainsMany current "agents" are just really, really long prompts (Mark's hot take)Task-specific models are emerging as one size won't fit all use casesEvolution moves from human-driven AI to agent-assisted to fully autonomous agentsAgent readiness requires APIs that allow software to interact autonomouslyTraditional UIs become unnecessary when agents interface directly with systemsCore competencies shift when AI handles the actual "doing" of tasksSales and marketing must adapt to agents delivering outcomes autonomouslyGo-to-market strategies need complete rethinking for an agentic worldThe agentic age is upon us and AWS partners should shape the futureParticipants:Mark Relph – Director – Data & AI Partner Go-To-Market, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode of #Trending, host Jim Love covers various significant topics in tech news. He discusses Donald Trump's impending semiconductor tariffs and their potential impact on the US tech industry; a Washington Post investigation revealing the inefficacy of Meta's Community Notes system in combating misinformation; an Amazon Web Services (AWS) developer whose account and data were unexpectedly deleted, sparking concerns about cloud dependency; and the UK's Online Safety Act, which, while intended to protect children, may instead be heightening risks and leading to increased platform censorship and data collection. Jim also invites listeners to share their summer reading lists and promotes his novel, 'Elisa, A Tale of Quantum Kisses'. 00:00 Introduction and Summer Reading Request 01:03 Trump's Semiconductor Tariffs 03:18 Meta's Community Notes System Fails 04:55 AWS Deletes Developer's Account 06:47 UK's Online Safety Act Controversy 09:52 Conclusion and Call to Action

Explore the future of enterprise security with Abnormal AI's CIO Mike Britton, as he reveals how next-generation security operations are evolving to combat machine-speed threats. As both a security leader and AI innovator, Britton shares his advice for implementing effective agentic AI governance while maintaining operational agility. He emphasizes that success in the AI era isn't about replacing humans, but about empowering security teams to work alongside AI systems effectively. From managing agentic AI risks to building AI-ready security operations, this episode offers essential guidance for security leaders navigating the intersection of AI innovation and enterprise protection. Don't miss this opportunity to learn from a leader at the forefront of AI-powered security!Watch on AWS Executive Insights

Industry leaders from Celonis and AWS explain why 2025 marks the inflection point for agentic AI and how early adopters are gaining significant competitive advantages in efficiency and innovation.Topics Include:AWS's Cristen Hughes and Celonis's Jeff Naughton discuss AI agent transformationAndy Jassy declares AI agents will fundamentally change how we workThree key trends make AI agents practical: smarter models, longer tasks, cheaper costsAI now beats humans on complex benchmarks for the first time everClaude 3.7 cracked graduate-level reasoning where humans previously dominated completelyAI evolved from brief interactions to managing sustained multi-step complex workflowsProcessing costs plummeted 99.7% making enterprise-grade AI economically viable at scaleWe're transitioning from 2023's adaptation era to 2025's human-AI collaboration eraBy 2028, AI will suggest actions to humans rather than vice versaAgents are autonomous software that plan, act, and reason independently with minimal interventionAgent workflow: receive human request, create plan, execute actions, review, adjust, deliverFour agent components: brain (LLM), memory (context), actions (tools), persona (role definition)AWS offers three building approaches: ready-made solutions, managed platform, DIY developmentKey enterprise applications: software development acceleration, customer care automation, knowledge work optimizationManual processes like accounts payable offer huge transformation opportunities through intelligent automationDeep process analysis is critical before deploying agents for maximum effectivenessCelonis pioneered process mining to help enterprises understand their actual workflow realitiesCompanies are collections of interacting processes that agents need proper context to navigateProcess intelligence provides agents with placement guidance, data feeds, monitoring, and workflow directionCelonis-AWS partnership demonstrates order management agents that automatically handle at-risk situationsParticipants:Jeff Naughton – SVP and Fellow, CelonisCristen Hughes – Solutions Architecture Leader, ISV, North America, Amazon Web ServicesFurther Links:Celonis WebsiteCelonis on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

This week on the GeekWire Podcast: Microsoft soars past Wall Street expectations, briefly hitting a $4 trillion valuation, while Amazon faces sharper scrutiny over its AI strategy. Todd Bishop and John Cook break down the contrasting earnings results, analyst reactions, and what it all means for the future of AI — and Seattle's place in it. Plus: insights from Microsoft's Mustafa Suleyman on the future of Copilot, a throwback lesson from the Zune era, and a guestbook entry that shows just how mainstream ChatGPT has become. Related stories and links Microsoft plans record $30B in quarterly capital spending Microsoft cut product R&D jobs, added operations roles over the past year Microsoft beats expectations, says Azure revenue tops $75B annually Internal memo: Nadella urges long-term thinking as Azure marks 15 years Microsoft reaches $4 trillion valuation after big earnings report Amazon Web Services profits squeezed amid AI spending surge Amazon tops Q2 estimates with $167.7B in revenue, $18.2B in profits Can Seattle own the AI era? 20 investors and founders weigh the potential From Startup to Exit: Microsoft@50: Birth of Xbox, with Chief Xbox Officer, Robbie Bach Colin & Samir Podcast with Microsoft AI CEO Mustafa Suleyman Tim Ferriss Podcast with Expedia and Zillow co-founder Rich BartonSee omnystudio.com/listener for privacy information.

Justin DiPietro, Co-Founder & Chief Strategy Officer of Glia, shares how they are leveraging AI to enhance the customer experience in the highly regulated world of financial institutions.Topics Include:Glia provides voice, digital, and AI services for customer-facing and internal operationsBuilt on "channel-less architecture" unlike traditional contact centers that added channels sequentiallyOne interaction can move seamlessly between channels (voice, chat, SMS, social)AI applies across all channels simultaneously rather than per individual channel700 customers, primarily banks and credit unions, 370 employees, headquartered in New YorkTargets 3,500 banks and credit unions across the United States marketFocuses exclusively on financial services and other regulated industriesAI for regulated industries requires different approach than non-regulated businessesTraditional contact centers had trade-off between cost and quality of serviceAI enables higher quality while simultaneously decreasing costs for contact centersNumber one reason people call banks: "What's my balance?" (20% of calls)Financial services require 100% accuracy, not 99.999% due to trust requirementsUses AWS exclusively for security, reliability, and future-oriented technology accessReal-time system requires triple-hot redundancy; seconds matter for live callsWorks with Bedrock team; customers certify Bedrock rather than individual featuresShowed examples of competitors' AI giving illegal million-dollar loans at 0%"Responsible AI" separates probabilistic understanding from deterministic responses to customersUses three model types: client models, network models, and protective modelsTraditional NLP had 50% accuracy; their LLM approach achieves 100% understandingPolicy is "use Nova unless" they can't, primarily for speed benefitsParticipants:Justin DiPietro – Co-Founder & Chief Strategy Officer, GliaFurther Links:Glia WebsiteGlia AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Microsoft becomes the second $4 trillion company All fuelled by the increased revenue from the Cloud Computing business, which provides compute for AI services. This is a huge win for Microsoft – the company that was absolutely written off in the mid 2000s and was expected to go the way of Yahoo. Microsoft is still second place to Amazon Web Services in the Cloud category. Their CFO announced they'll spend $30 billion on its AI infrastructure investments in the next quarter. Apple was the first US company to hit $1 trillion in 2018, first to hit $2 trillion in 2020, first to hit $3 trillion in 2022, so by that math, it should have hit $4 trillion in 2024, but Nvidia beat them. Nvidia only became a $1 trillion company in 2023 – two years ago! For context, $4 trillion would be like giving all 5.3 million New Zealanders USD $750,000 (NZD $1.2 million). Apple says Trump's tariffs will cost it another $1 billion That's on top of the $800 million the tech giant spent on tariffs during the June quarter. Quarterly revenue jumped 10% to $94 billion between April and June. Apple moved a chunk of iPhone production to India to avoid some of the China tariffs, but President Donald Trump is threatening 25% tariffs on Apple if it doesn't start producing more in the USA. LISTEN ABOVE See omnystudio.com/listener for privacy information.

For episode 560 of the BlockHash Podcast, host Brandon Zemp is joined by Andrew Vranjes, CRO of Blockdaemon while at Permissionless 4.Previously, Andrew was VP and GM at APAC, where he has successfully led regional growth, forged strategic partnerships, and expanded market presence in the Asia Pacific Region.  Prior to joining Blockdaemon, Andrew has held leadership roles in Amazon Web Services (AWS), Cisco Systems and Singtel/Optus. In AWS, Andrew built out the teams focussed on Startups, Digital Natives, Crypto/Fintech and AWS's partnerships with the Venture Capital and Private Equity community.  ⏳ Timestamps: 0:00 | Introduction1:00 | Who is Andrew Vranjes?3:34 | Blockdaemon explained5:30 | RWAs & Tokenization9:00 | Blockdaemon roadmap10:37 | Blockdaemon at Permissionless13:07 | RAPID FIRE SESSION

Hey CX Nation,In this week's episode of The CXChronicles Podcast #262, we welcomed Pasquale DeMaio, Vice President at Amazon Web Services (AWS) based in Seattle, WA. Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.In this episode, Pasquale and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team at AWS think through on a daily basis to build world class customer experiences.**Episode #262 Highlight Reel:**1. How AWS thinks about team-building strategies  2. Leveraging Amazon Connect's Unified AI Engine  3. Streamlining customer service & success to fuel growth 4. Investing & supporting employee-driven innovation & cross-team collaboration 5. Building customer-centricity into the DNA of your engineering team Click here to learn more about Pasquale DeMaioClick here to learn more about Amazon Web Services (AWS)Huge thanks to Pasquale for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & customer success space into the future.If you enjoy The CXChronicles Podcast, stop by your favorite podcast player hit the follow button and leave us a review today.For our Spotify friends, make sure you are following CXC & please leave a 5 star review so we can find new listeners & members of our community.For our Apple friends, same deal -- follow CXCP and leave us a review letting folks know why you love our customer focused content.You know what would be even better?Go tell one of your friends or teammates about CXC's content,  strategic partners (Hubspot, Intercom, & Zendesk) & On-Demand services & invite them to join the CX Nation!Want to see how your customer experience stacks up to others, ask us about the CXC Healthzone, an intelligence platform that shares benchmarks & insights from companies across the world. Huge thanks for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

Ed Bailey, Field CISO at Cribl, shares how Cribl and AWS are helping customers rethink their data strategy by making it easier to modernize, reduce complexity, and unlock long-term flexibility.Topics Include:Ed Bailey introduces topic: bridging gap between security data requirements and budgetCompanies face mismatch: 10TB data needs vs 5TB licensing budget constraintsData volumes growing exponentially while budgets remain relatively flat year-over-yearIT security data differs from BI: enormous volume, variety, complexityMany companies discover 600+ data sources during SIEM migration projects50% of SIEM data remains un-accessed within 90 days of ingestionComplex data collection architectures break frequently and require excessive maintenanceTeams spend 80% time collecting data, only 20% analyzing for valueData collection and storage are costs; analytics and insights provide business valuePoor data quality creates operational chaos requiring dozens of browser tabsSOC analysts struggle with context switching across multiple disconnected systemsTraditional vendor approach: "give us all data, we'll solve problems" is outdatedData modernization requires sharing information widely across organizational business unitsData maturity model progression: patchwork → efficiency → optimization → innovationData tiering strategy: route expensive SIEM data vs cheaper data lake storageSIEM costs ~$1/GB while data lakes cost ~$0.15-0.20/GB for storageCompliance retention data should go to object storage at penny fractionsDecouple data retention from vendor tools to enable migration flexibilityCribl platform offers integrated solutions: Stream, Search, Lake, Edge componentsCustomer success: Siemens reduced 5TB to 500GB while maintaining security effectivenessParticipants:Edward Bailey – Field CISO, CriblFurther Links:Cribl WebsiteCribl on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Discover how a tech executive with zero banking experience revitalized and transformed digital operations at Union Bank of the Philippines. In this episode of Executive Insights, Chief Transformation Officer Dennis Omila shares how his authentic approach to leadership helped him drive organizational change and advocate for banking innovation. Through people-centric strategies, Omila spearheaded a remarkable cultural transformation at Union Bank, from creating “wow experiences” for customers, to harmonizing teams and insisting on better work-life balance for employees. His journey offers a masterclass in leadership development, showing how purpose-driven, authentic leadership can propel both individual growth and organizational success. This episode is essential viewing for leaders seeking to navigate complex changes while fostering a culture of innovation and employee empowerment in any industry.The views of the individual do not necessarily reflect the views of Union Bank.

Joe Marchese, Co-Founder of Human Ventures, talks with Jessica Lessin, our founder, CEO, and editor-in-chief, about AI's effect on ad businesses. Shaown Nandi, Director of Technology at Amazon Web Services, discusses the Chief AI Officer role. Kashish Gupta and Harsha Kapre join to discuss Snowflake's investment in Hightouch, and our reporter Aaron Holmes breaks down AI's impact on lowering software switching costs.Articles discussed on this episode: https://www.theinformation.com/articles/cursors-global-success-lifted-chinahttps://www.theinformation.com/articles/ai-cloud-startup-fireworks-discusses-4-billion-valuation-deal-lightspeed-indexhttps://www.theinformation.com/articles/microsofts-rivals-lean-ai-pry-away-longtime-customershttps://www.theinformation.com/articles/spotify-is-booming-except-for-its-ad-business TITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.

Sam Johnson, Chief Customer Officer of Jamf, discusses the implementation of AI built on Amazon Bedrock that is a gamechanger in helping Jamf's 76,000+ customers scale their device management operations.Topics Include:Sam Johnson introduces himself as Chief Customer Officer from Jamf companyJamf's 23-year mission: help organizations succeed with Apple device managementCompany manages 33+ million devices for 76,000+ customers worldwide from MinneapolisJamf has used AI since 2018 for security threat detectionReleased first customer-facing generative AI Assistant just last year in 2024Presentation covers why, how they built it, use cases, and future plansJamf serves horizontal market from small business to Fortune 500 companiesChallenge: balance powerful platform capabilities with ease of use and adoptionAI could help get best of both worlds - power and simplicityAI also increases security posture and scales user capabilities significantlyCustomers already using ChatGPT/Claude but wanted AI embedded in productBuilt into product to reduce "doorway effect" of switching digital environmentsCreated small cross-functional team to survey land and build initial trailRest of engineering organization came behind to build the production highwayTeam needed governance layer with input from security, legal, other departmentsEvaluated multiple providers but ultimately chose Amazon Bedrock for three reasonsAWS team support, large community, and integration with existing infrastructureUses Lambda, DynamoDB, CloudWatch to support the Bedrock AI implementationAI development required longer training/validation phase than typical product featuresReleased "AI Assistant" with three skills: Reference, Explain, and Search capabilitiesParticipants:Sam Johnson – Chief Customer Officer, JamfFurther Links:Jamf.comJamf on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Anna Cardona 361Firm Newport July 2025 InterviewSUMMARY KEYWORDSAI impact, Tate County, data centers, Amazon Web Services, Nvidia, Brock, economic development, tax policy, legislation, fund managers, scaling companies, LinkedIn connection, Mississippi, technology impact, neighborhood changes.SPEAKERSAnna CardonaMy name is Anna Cardona. I'm executive director of Tate County Economic Development Foundation, and I'm from Tate County, Mississippi. I thought today's event was amazing. What stood out the most was the conversations on AI, particularly, how reliant we will be on chips. So AI is going to impact the whole world and everything that I was doing, down to drafting a letter of intent, all the way to creating legislation and tax policy and procedures, AI is coming into Tate County in the form of data centers in Amazon Web Services, Nvidia, Brock, AI. So a lot of the Tate County neighbors are seeing, we're seeing big impacts for AI and data centers. So you can connect with me on LinkedIn. I'd love to connect with fund managers who are stewarding companies that are looking to scale and that are open to scaling. Thank you. You can subscribe to various 361 events and content at https://361firm.com/subs. For reference: Web: www.361firm.com/homeOnboard as Investor: https://361.pub/shortdiagOnboard Deals 361: www.361firm.com/onbOnboard as Banker: www.361firm.com/bankersEvents: www.361firm.com/eventsContent: www.youtube.com/361firmWeekly Digests: www.361firm.com/digest

Mark Stevens, SVP, Channels and Alliances, discusses how SecurityScorecard's strategic partnership with AWS enables them to scale their security solutions through cloud infrastructure, marketplace integration, and co-sell programsTopics Include:SecurityScorecard founded 10 years ago to understand third-party vendor security postureCompany has grown to 3,000 enterprise customers and 200+ partners globallyEvolved from ratings to "supply chain detection and response" over last yearSupply chain threats have doubled, creating extended attack surfaces for companiesMany organizations don't know their vendor count or vulnerabilities within supply chainsSecurityScorecard provides visibility into attack surfaces and management tools for controlGenerative AI is central to their ecosystem, leveraging AWS Bedrock extensivelyThey scan the entire internet every two days at massive scaleHave scored 12 million companies with security scorecards to dateAll workloads run on AWS cloud infrastructure as their primary platformAWS partnership provides necessary scale for managing hundreds of thousands of vendorsCase study: Identified vendor misconfigurations that could shut down 1,000 locationsOwn massive 10-year data lake with tens of millions of companiesNew managed service combines AI automation with human analysts for supportLarge organizations cannot fully automate supply chain security management yetQuality threat intelligence data now valuable to SOC teams, not just riskThird-party risk management and SOC teams are slowly converging for better securityAWS marketplace integration provides frictionless customer experience and larger dealsCo-sell programs with AWS enterprise sales teams create effective flywheel motionFuture expansion includes identity management, response actions, and internal signal managementParticipants:Mark Stevens – SVP, Channels and Alliances, SecurityScorecardFurther Links:SecurityScorecard.ioSecurityScorecard AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Welcome to The Zenergy Podcast! Today, Karan sits down with Brandon Oyer, Head of America's Power & Water at Amazon Web Services. Brandon shares his role at Amazon and how he became involved at the company. They then discuss how Amazon is using AI to get more power onto the grid, how much demand comes from traditional cloud computing vs AI, and Amazon's plan to be net-zero carbon by 2040. Brandon shares several sustainability projects Amazon is currently involved in, and we get a behind-the-scenes look into what it takes to supply a region with more power. If you enjoy today's episode, be sure to like and subscribe to the podcast so you don't miss other episodes. Credits:Editing/Graphics: Desta Wondirad, Wondir Studios

Chief Product Development Officer Mitchell Johnson discusses how Sonatype protects enterprise developers from malicious open source components while keeping them productive through AI.Topics Include:Sonatype provides software supply chain solutions for enterprises using open source componentsThey serve large enterprises, government agencies, and critical infrastructure providers globallyMain challenge: keeping developers productive while maintaining secure software supply chainsCybercrime and supply chain attacks are massive, growing industries threatening developersAI adoption is happening faster than expected, profoundly changing development workflowsBad actors evolved from waiting for vulnerabilities to creating malicious componentsMalicious open source components specifically target developer and DevOps toolchainsSonatype's security research team uses AI/ML to analyze every open source componentThey can predict and block malicious components before entering customer environmentsAWS partnership helps Sonatype meet customers where they want to do businessPartnership focuses on go-to-market alignment, not just technical integrationAWS sales teams should be treated as extensions of your own sales organizationUnderstanding AWS sales structure and incentives is crucial for successful partnershipsAI development is following same pattern as open source adoption twenty years ago"Shadow AI" parallels the earlier "shadow IT" trend with open source softwareAI speeds up code generation but security review processes haven't kept paceDevelopers need a "Hippocratic Oath" - taking responsibility for AI-generated code outputWithin 24 months, professionals not skilled in AI will struggle to stay relevantSonatype's culture encourages curiosity, experimentation, and accepts failure as part of innovationTheir core mission: help developers focus on innovation, not security choresParticipants:Mitchell Johnson – Chief Product Development Officer, SonatypeFurther Links:Sonatype WebsiteSonatype on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode, former AWS VP Alec Peterson reveals how having a resilience mindset can help leaders turn setbacks into strategic advantages. Peterson emphasizes that effective resilience strategies don't focus on preventing all failures, but rather on creating systems that allow organizations to fail forward. By anticipating and planning for potential issues, companies can build a business resilience framework that embraces failure as a pathway to innovation. Watch now to learn how AWS's infrastructure and culture enable teams to experiment boldly, learn rapidly, and emerge stronger from challenges. This episode offers valuable strategies for leaders looking to cultivate organizational resilience by harnessing the power of failure as a tool for competitive advantage.

Founder and CTO Alex Rice discusses how HackerOne uses generative AI to automate security workflows and prioritizing accuracy over efficiency to achieve end-to-end outcomes.Topics Include:HackerOne uses ethical hackers and AI to find vulnerabilities before criminalsWhite hat hackers stress test systems to identify security weaknesses proactivelyGenerative AI plays a huge role in HackerOne's security operationsSecurity teams struggle with constant toil of finding and fixing vulnerabilitiesAI helps minimize toil through natural language interfaces and automationBoth good and bad actors have access to generative AI toolsSuccess requires measuring individual task inputs and outputs, not just aggregatesBreaking down workflows into granular tasks reveals measurable AI improvementsHackerOne deployed "Hive," their AI security agent to reduce customer toilInitial focus was on tasks where AI clearly outperformed humansStarted with low-hanging fruit before tackling more complex strategic workflowsAccuracy is the primary success metric, not just efficiency or speedSecurity requires precision; wrong fixes create bigger problems than inefficiencyCustomer acceptance and reduced time to remediation are north star metricsHumans remain the source of truth for validation and feedback loopsBreak down human jobs into granular AI tasks using systems thinkingBuild specific agents for individual tasks rather than entire job rolesKeep humans accountable for end-to-end outcomes to maintain customer trustAWS Bedrock chosen for security, confidentiality, and data separation requirementsMoving from efficiency improvements to entirely new AI-enabled capabilitiesParticipants:Alex Rice – Founder & CTO/CISO, HackerOneFurther Links:HackerOne WebsiteHackerOne on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Welcome to Omni Talk's Retail Daily Minute, sponsored by RetailClub and Mirakl. In today's Retail Daily Minute:Target discontinues price matching with competitors like Amazon and Walmart, citing customer behavior data and focusing on its own value proposition amid ongoing business turnaround efforts.UNFI's operations return to normal following a cyberattack that will cost the grocery distributor $350-400 million in sales, highlighting the growing cybersecurity challenges facing retail supply chains.Amazon Web Services launches an AI agent marketplace with Anthropic as a key partner, creating new distribution channels for AI-powered retail solutions and enterprise automation tools.The Retail Daily Minute has been rocketing up the Feedspot charts, so stay informed with Omni Talk's Retail Daily Minute, your source for the latest and most important retail insights. Be careful out there!

"Customers are now expecting highly personalised, seamless, and efficient interactions across all the touch points,” stated Rahul Sareen, the Senior Leader–Cross Industry, Private Equity and Startups Solutions at Amazon Web Services (AWS). Sareen's statement represents the state of customer experience (CX) today. It's a demand that is forcing businesses to completely rethink how they engage with customers.In the recent episode of the Don't Panic It's Just Data podcast, John Santaferraro, CEO and Head Research Analyst at Ferraro Consulting, speaks to Gary Class, Industry Strategist, Financial Services at Teradata and Sareen. They discussed how data, AI, and hyper-personalisation are reshaping customer experience (CX). The time of one-size-fits-all customer service is long over. Sareen emphasises this change by quoting Jeff Bezos: "If you have 4.5 million customers, then you cannot just build one store. You have to build 4.5 million stores." This isn't just about dividing customers into groups; it's about providing a truly unique and personal experience for each person. How AI is Enhancing Customer Experience (CX)Alluding to the use of gen AI and AI agents in customer experience (CX), Class highlights a key application of AI – analysing unstructured data. He says, “The one time that customers tell you what they really want and need, it's on the phone." By "grafting the unstructured data analysed through speech and text onto the structured data," businesses get equipped with rich insights on untapped possibilities. Overall, it also provides a 360-degree preview of the customer experience (CX), which allows for increased proactive and custom developments.AI agents are set to take hyper-personalisation to new heights, the podcast guests believe. Alluding to the pros, Sareen points to their "predictive and proactive nature," which lets AI agents "identify and resolve issues before even customers are aware of them." Imagine a situation where a device automatically finds a problem, starts a support case, identifies a solution, and even applies a fix—all in real-time and without any input from the customer. Sareen calls this the "Nirvana state" of AI-driven customer service. It promises a smooth and genuinely smart experience.Unified Platform for Simplified Quality DataSimplifying how we manage raw data and turn it into quality data in a single system is critical for meeting the needs of AI in customer experience (CX).This is where Teradata comes in. Class says the company's approach centres on "harvesting all the data that you can collect in a conformed and harmonised framework." Their strategy includes providing industry-specific data models and leveraging the "capacity of a relational database engine that can deal with complexity at...

Microsoft is undergoing a significant restructuring, placing artificial intelligence (AI) at the forefront of its strategy. The company has announced the layoff of approximately 9,000 employees, primarily targeting generalist sales roles, as it shifts towards a model that prioritizes technical expertise over traditional relationship-building in sales. This move is part of a broader initiative to enhance its AI offerings, particularly through its Copilot program, which has seen a 50% increase in funding and a 70% rise in partner incentives. Microsoft aims to eliminate product silos and align its go-to-market strategy with customer priorities, emphasizing the importance of AI integration in sales and service delivery.OpenAI is also making waves by diversifying its cloud infrastructure, now utilizing Google Cloud alongside Microsoft, CoreWeave, and Oracle. This strategic shift comes as OpenAI prepares to introduce new features in its ChatGPT platform, including a checkout function for e-commerce, which will allow users to make purchases directly through the chatbot. The company is positioning itself to compete more directly with Microsoft's Office suite by enhancing productivity tools and integrating e-commerce capabilities, signaling a move from being a model provider to an end-user platform.Amazon Web Services (AWS) has launched a new platform called Amazon Bedrock Agent Core, designed to facilitate collaboration among AI agents across organizations. This platform aims to address concerns about job security in the face of AI advancements, as it allows for the construction of interconnected AI agents capable of performing various tasks. Unlike competitors, AWS's offering is designed to be flexible and support multiple AI frameworks, positioning it as a neutral infrastructure provider in the AI landscape.In a rapid-fire segment, several companies have announced new partnerships and product updates. iRACA has teamed up with TD Cynics to extend its secure access services, while cgen.ai has launched a platform to streamline AI workloads. Nutrien has improved its Document AI software, and Cohesity has integrated its data management platform with Microsoft 365 Copilot, enabling users to leverage backup data for informed decision-making. These developments highlight a trend towards enabling service providers to evolve from mere technical support to delivering measurable business outcomes. Four things to know today 00:00 Microsoft Shakes Up Partner Strategy with AI Funding Boost and Workforce Realignment05:42 OpenAI's Cloud Diversification and Agent Ambitions Could Upend SMB Workflows08:35 AWS Launches AgentCore to Build Networks of Interconnected AI Agents11:15 Aryaka, C-Gen.AI, Nutrient, Cohesity Roll Out Innovations Targeting Business Value This is the Business of Tech.     Supported by:  https://timezest.com/mspradio/  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Spencer Herrick, Principal AI Product Manager of Asana and Oliver Myers of AWS demonstrate how their integration allows Asana's AI workflows to access enterprise data from Amazon Q Business, enabling seamless cross-application automation and insights.Topics Include:Oliver Myers leads Amazon Q Business go-to-market, Spencer Herrick manages Asana AI products.Session focuses on end user productivity challenges with generative AI technology implementations.End users face technology overload with doubled workplace application usage over five years.Data silos prevent getting maximum value from generative AI across fragmented enterprise systems.Workers spend 53% of time on "work about work" instead of strategic contributions.Ideal experience needs single pane of glass with cross-application insights and actions.Amazon Q Business launched as managed service with 40+ enterprise data connectors.Connectors maintain end-user permissions from source systems for enterprise security compliance.QIndex feature enables ISVs to access Q Business data via API calls.End users get answers enriched with multiple data sources without switching applications.Asana's work graph connects all tasks, projects, and portfolios to company goals.Phase 1 AI focused on narrow solutions like smart status updates.Phase 2 aimed for AI teammate capabilities requiring extensive contextual knowledge.AI Studio launched as no-code workflow automation builder within Asana platform.Q integration allows AI Studio to access cross-application context beyond Asana boundaries.SmartChat enhanced with Q can answer "what should I work on today?" holistically.Users returning from PTO can quickly understand goal risks across data sources.AI Studio workflows automate feature request processing across Asana, Drive, Slack, email.Partnership eliminates silos while maintaining enterprise security and permission controls.Integration creates connected ecosystem enabling true cross-application AI automation and insights.Participants:Spencer Herrick - Principal AI Product Manager, AsanaOliver Myers - Worldwide Head of Business Development, Amazon Web ServicesFurther Links:Asana.comAsana on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Chief Product Officer Dan Brown explains how Celonis creates digital twins of business processes to power AI agents that automate operational improvements.Topics Include:Dan Brown introduces Celonis as the thought leader in process mining for over a decade.Celonis serves largest global companies across all industries seeking operational improvements.Companies have process diagrams but actual operations differ significantly from documentation.Celonis creates digital twins of business processes by analyzing system data flows.Process intelligence reveals how work actually happens versus how companies think it happens.Platform enables process normalization, improvement assessment, and automated corrective actions.Celonis vision: making processes work better for people, companies, and the planet.Process intelligence provides visibility into current operations and improvement strategies.Great AI requires great data, but most companies only have static views.Process intelligence graph shows real-time flow of orders, invoices, and opportunities.Agentic AI requires four capabilities: sensing, planning, executing, and governing operations.Process intelligence enables real-time detection of conformance problems and deviations.AWS partnership leverages Bedrock for agentic AI and infrastructure for data processing.Data ingestion, organization, and enrichment are core to process intelligence value.AI agents now handle process deviations with increasing autonomy and sophistication.Heavy equipment manufacturer uses agents to coordinate with third-party vendors automatically.Agents text and email vendors to confirm delivery dates, reducing manual work.Implementation challenges include data quality, conservative adoption, and governance concerns.Companies should start with achievable use cases and expand gradually across domains.Future involves enterprise-wide process visibility powering automated applications and continuous improvement.Participants:Dan Brown – Chief Product Officer, CelonisFurther Links:Celonis WebsiteCelonis on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Blackbaud and Constant Contact announced the initial release of a strategic integration to transform digital engagement across the social impact sector, Infor announced an expanded Strategic Collaboration Agreement (SCA) with Amazon Web Services, Inc. (AWS) to accelerate the adoption of generative artificial intelligence (AI) among their joint customers, and Aptean announced the launch of Aptean Fresh Produce ERP, the evolution of its industry-leading Produce Pro Software.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

La aplicación de la IA evoluciona favorablemente y “en España estamos a un 50% de adopción de la inteligencia artificial en las empresas” mientras que la media europea está en el 42%. Eduardo Ordax, responsable de inteligencia artificial generativa de Amazon Web Services ha señalado en Capital Intereconomía que España va a la cabeza aunque “las grandes empresas van por delante” porque tienen más recursos, gente y talento, mientras que las pequeñas están tratando de arrancar. Coincidiendo este miércoles 16 de julio con el International Artificial Intelligence Appreciation Day, ha señalado que en el último año 450.000 empresas nuevas han comenzado a adoptar la IA. Hacia la era de la inteligencia artificial Ordax ha defendido que nos encontramos ante una gran revolución con nuevas tecnologías, entre ellos la IA”. A partir de ello, desde AWS lo que hacen básicamente es “tratar de entender cuáles son los retos de las empresas para poder ver cómo esa tecnología les puede ayudar a tener mejor relación con clientes, ser más productivos,más eficientes”. Para ello ponen a su disposición la tecnología de AWS y abrir el camino hacia la transición de una época pasada, hacia lo que nos depara la era de la inteligencia artificial. Se mostraba convencido de que seguramente la tecnología sea el menor de los retos para las empresas. Según su visión es “un proceso de transformación cultural y adaptación estratégica y es ahí donde tratamos de ayudar a las empresas luego viene rodado el uso de la tecnología” La aplicación de la IA en las empresas españolas “Estamos viendo un boom. Las empresas se han dado cuenta de que no es una moda más, sino que esto va a transformar la manera en que trabajamos, vivimos y nos relacionamos”, según ha dicho Ordax. Advertía que no hay tiempo para pensar y retrasar la asunción de la IA y aseguraba que va a marcar un gran punto de diferencia: “Va a tener una gran ventaja competitiva la empresa que adopte la IA”. El experto subrayaba que no hay tiempo que perder con la IA. Añadía que en la New York Summit, Amazon Web Services anunciaba algunas de las novedades que en el campo de la IA está por llegar, como en el campo de los agentes, con una IA que no solo da respuestas sino que va más allá, ya que puede tomar acciones, tiene memoria, optimizar y automatizar procesos. Las startups y la IA: nativos digitales Las startups son las empresas que están evolucionando más rápidamente con la IA, según ha explicado Ordax “porque no tienen el legacy de las grandes, datos en distintos hilos, tecnologías hilos, porque son nativos digitales. Para ellos es más fácil adaptar las tecnologías”. Empresas y plataformas de IA con AWS Xavier Vizcaino, Senior Manager DataLab de Applus+ IDIADA, ha explicado cómo su compañía que presta servicio de diseño, ingeniería, ensayo y homologación de vehículos ha buscado optimizar los procesos con la IA y ofrecerla de manera masiva a los trabajadores “Ante ese reto, decidieron trabajar dos plataformas, una como un asistente en el trabajo; y una segunda, -al tener en cuenta las tareas repetitivas-, que es una plataforma de automatización que puede trabajar de la mano con el asistente”. A partir de ello, “es el propio usuario quien descubre cómo al usar la plataforma se genera eficiencia así mismo”, según explicaba Vizcaíno. Miquel Bru, cofundador y chief business development officer de Genomcore ha destacado la visión de su compañía, centrada en hacer realidad la medicina de precisión y llevarla al mundo real, que “en salud no nos gustan las cajas negras. No podemos aplicar un algoritmo de IA generativa que no podemos explicar cómo ha llegado a esa conclusión”. Desde Genomcore han puesto en marcha varios proyectos con la IA. Entre ellos, uno pionero que se enmarca en los PERTE, con visión 360 de la persona, con datos genéticos de más de un centenar de hospitales en España y por el que entrenaron modelos de IA para predecir la prognosis del cáncer, su evolución y anticipar si hará o no metástasis. Para llegar a la implementación de esos algoritmos hay un largo camino, y de ahí que ponga de relieve la importancia de plataformas escalables que permiten escalar en almacenamiento y computación de datos, o es imposible. Inteligencia Artificial y regulación La regulación es necesaria y más ante una tecnología tan disruptiva que va por delante de su adopción, según ha señalado el experto de AWS. “Cuesta discernir lo que es cierto y no con imágenes y vídeos”. Señalaba que la UE ha sido puntera en materia regulatoria de IA, pero una de las grandes preocupaciones entre los clientes es cómo adaptar la regulación en la adopción de la IA. Añadía que hay que ayudar aque la adopción de la regulación no sea más difícil que la adopción de la tecnología.

For Amazon Web Services (AWS), Amazon's cloud computing business, everything is on the table as far as adoption of clean energy sources and use of energy storage solutions to meet its ambitious goal of becoming net-zero carbon by 2040. Michael Torrance, Chief Sustainability Officer at BMO, hosts this episode of Sustainability Leaders with his guest Chris Walker, Director of Sustainability, AWS. They discuss AWS' efforts at energy efficiency, nuclear power procurement, and the company's goal to be water positive by 2030.

In this episode, we catch up with Mai-Lan Tomsen Bukovec, VP of Technology at AWS, as she reveals three transformative approaches to enterprise data management: aggregate, curate, and extend. Drawing from her extensive experience leading AWS data services, Mai-Lan shares how organizations can build flexible, scalable data foundations that enable both innovation and governance. Join Mai-Lan as she discusses the intricacies of data infrastructure modernization with AWS Enterprise Strategist Tom Soderstrom. Together they explore how modern data infrastructure can accommodate rapid technology changes while maintaining security and compliance. This essential discussion provides leaders with practical insights for data-driven business transformation, from federating data ownership to implementing strategic data platform modernization that adapts to evolving business needs.

AWS partners Automation Anywhere, Qlik, and Vectra.ai discuss revolutionizing customer experience through generative AI, sharing real-world implementations in automation, analytics, and cybersecurity applications. Topics Include:AWS Technology Partnerships panel on agentic AI implementationThree AWS partners share real-world AI deployment experiencesAutomation Anywhere automates end-to-end business processes with agentsVectra.ai uses autonomous agents for cybersecurity threat detectionQlik applies generative AI across their data platform portfolioCustomer service automation handles L1 support requests efficientlyUtility company processes 144,000 complaints annually using agentsRegulatory compliance improved through faster complaint resolution workflowsCybersecurity agents reduce threat detection time by 50-60%Triage, correlation, and prioritization handled by autonomous agentsSignal fatigue reduced through intelligent alert filtering systemsNatural language queries enable faster business decision makingSales AI agent provides competitive information during callsAWS Marketplace reduced 7,000 weekly tickets to zero2023 was proof-of-concept year, 2024 focuses production deploymentAWS Bedrock integration seamless with existing data repositoriesModel optionality crucial for different use case requirementsAgility most important capability in generative AI journeyCode abandonment becomes acceptable due to rapid innovationMaximum team size of 10 people maintains development agilityTargeted solutions outperform broad platform capabilities in adoptionImplementation expertise becomes bottleneck for customer scaling effortsNatural language interaction patterns completely shifted user behaviorKeywords searches replaced by conversational query approachesResponsible AI committees review decisions and establish principlesSecurity considerations balance speed with responsible deployment practicesBad actors adopt generative AI faster than defendersExplainability requirements slow feature rollout but ensure auditabilityMulti-modal deployments use different models for specific casesFuture trends include AI-powered business process outsourcingParticipants:Peter White – SVP, Emerging Products, Automation AnywhereRyan Welsh – Field CTO - Generative AI, QlikJohn Skinner – Vice President Corporate/Business Development, Vectra.aiChris Grusz – Managing Director for Technology Partnerships, AWSFurther Links:Automation Anywhere in AWS MarketplaceQlik in AWS MarketplaceVectra.ai in AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Zak Krider, Trellix's Director of Strategy and AI, shares how Trellix has successfully integrated generative AI into their security operations and democratized access to AI models across the organization.Topics Include:Trellix formed from McAfee Enterprise and FireEye mergerProvides full security stack visibility in single platformServes SMBs to Fortune 500 and government customersUsed machine learning for two decades with 30 modelsRecently pivoted to generative AI with Wwise platformAI finds critical events among thousands daily alertsIncorporates threat hunting knowledge into AI prompt structuresAWS Bedrock central to AI strategy for model flexibilityFormed small tiger team to investigate generative AIAnthropic Claude provided breakthrough "aha moments" for capabilitiesAdopted "fail fast, learn fast" innovation culture approachEnabled employee access to models through Bedrock APIConducted innovation jam sessions with VC-style pitchesAI decoded Base64 without prompting, identified benign activityJunior analysts elevated to level two with AICommon misconception: models train on customer data falselyEarly challenge: providing too much data overwhelmed modelsSmaller models hallucinated more with plausible-sounding responsesDesign partner programs help prioritize product developmentDemocratize AI access beyond just technical teamsTest multiple models for specific use casesLarge models work better than small ones initiallyPrompt engineering crucial for effective model communicationModel Context Protocol will gain traction next yearBackend data security remains largely unsolved challengeFederal customers require on-premises, air-gapped AI solutionsParticipants:Zak Krider – Director of AI and Innovation, TrellixFurther Links:Website: https://www.trellix.comTrellix on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Stop deliberating and start driving real value from Generative AI. In this must-watch AWS Executive Insights episode, AWS Director of Technology Shaown Nandi and Databricks VP Jeff Traylor cut through the AI hype to reveal practical strategies for achieving tangible AI ROI. Drawing from his experience at both AWS and Databricks, Traylor shares an insider's playbook for successful AI implementation, from building high-performing AI talent to measuring the business impact of AI. Whether you're just starting your AI journey or looking to scale existing initiatives, this candid conversation provides the framework you need to move beyond analysis paralysis and drive meaningful outcomes. Learn how leading organizations are balancing innovation with risk management to unlock AI's transformative potential.

Imagine a future where the emerging tech radically transforms human dating experiences.On this episode of TechMagic, tech futurist Cathy Hackl explores first hand the future of love and dating in the age of AI and humanoid robots. Cathy's experiment with AI matchmaking shows its impact and limitations on human connections. The hosts discuss the importance of preserving human interactions and communications using the AI tech.Come for Tech, Stay for Magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInEpisode Highlights:Cathy Interviews Two Humanoid Robots - Cathy speaks with two humanoid robots on love and connection, gaining insights into how AI is responding to questions all about love The Impact of AI in Modern Dating - Cathy shares an insightful perspective about the need for human connection over dating a humanoid robot. She highlights the reality of the dating space which is to find warmth, connection and presence which isn't provided by AI.The AI Dating Models - Cathy discusses one of her experiments with AI matchmaking which was to bring two people together at a TED event she attended and find out if they are a match, she finds out that the couple who were a match met a day prior and had experienced a connection. This result emphasized the important need for humans - connection. The future is about presence and human connection.The Humanoid Love - Cathy talks about her latest experience with dating four AIs - Chad (Chad GPT), Jim (Gemini, Google), Mateo (Meta AI), and Claude from Anthropic. She shares how much fun the experiment is and how it is shaping her view about love.Key Discussion Topics:27:10 AI and The Future of Relationships28:08 Human Connections or AI attachments?28:44 AI Matchmaking Experiment at TED29:50 The Humanoid Love Experiment Hosted on Acast. See acast.com/privacy for more information.

NVIDIA's Global Head of Partnerships & Cloud for Startups, Jen Hoskins, details their collaboration with AWS to support over 25,000 startups through their Inception program.Topics Include:AI transformation happening across all industries and verticalsNVIDIA evolved from GPU company to full-stack AI solutionsAccelerated computing requires complete stack re-engineering from chip upTraditional CPU scaling has reached its fundamental performance limitsNVIDIA-AWS partnership spans over 13 years of co-developmentDGX Cloud integrates seamlessly with AWS SageMaker and BedrockOver 26 NVIDIA solutions available in AWS MarketplaceNVIDIA AI Enterprise accelerates data science and deployment pipelinesNIM microservices streamline AI model development like Docker containersCodeway gaming startup saved 48% on compute costs using NVIDIAEternal improved marketing ROI by 30X with generative AIQuoto achieved 10X content length and 3X throughput improvementNOATech biotech scaled cancer research with small team efficientlyNVIDIA Inception program supports over 25,000 startups globallyProgram covers 100+ countries across all verticals and stagesStartups get AWS credits up to $100,000 through ActivateDeveloper program offers free access to hundreds of SDKsThree program pillars: Innovate, Build, and Grow stagesVC Alliance connects startups with over 1,000 investorsVenture Capital Connect directly links startups to funding opportunitiesParticipants:Jen Hoskins – Startups, Global Head of Cloud, Partnerships & Go to Market, NVIDIAFurther Links:Website: https://www.nvidia.comNVIDIA Inception ProgramNVIDIA on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode of the Tyler Tech Podcast, we unpack a common and often misunderstood topic in public sector cloud computing: what GovCloud is, how it differs from standard cloud environments, and when each is actually necessary.Recorded live at our annual Tyler Connect conference in San Antonio, this insightful discussion features Russell Gainford, chief technology officer at Tyler Technologies, and Gerard Gallant, senior program manager at Amazon Web Services (AWS). Together, they explore how state and local governments can navigate evolving compliance needs and make smart, secure, and cost-effective cloud choices.Throughout the episode, Russell and Gerard clarify the distinction between security and compliance, explain why assumptions around GovCloud can lead to unnecessary complexity and cost, and highlight AWS's Nitro System as a game-changing innovation in data protection. They also touch on the broader importance of continuous education in cloud decision-making, particularly as agencies modernize infrastructure and embrace emerging technologies.Tune in to hear how public sector leaders can confidently choose the right cloud environment for their mission — grounded in actual requirements, not just labels.This episode also highlights “Resilient by Design: How Technology Supports Government,” our free e-book that explores how public sector agencies can strengthen their resilience in the face of disruption. From cloud infrastructure and automation to secure payment systems and crisis response tools, the e-book features real-world examples of how technology helps governments maintain continuity and serve their communities more effectively.Download: Resilient by Design: How Technology Supports GovernmentAnd learn more about the topics discussed in this episode with these resources:Download: Resilient by Design: How Technology Supports GovernmentDownload: Cloud-Smart Strategies for IT Infrastructure ModernizationBlog: Boosting Resilience: Cloud Solutions for Modern GovernmentBlog: Partnering With Communities to Build ResilienceBlog: Resilient Communities Rely on Modern Public Safety SolutionsBlog: Increase Community Resilience With Modern Payment SystemsBlog: How Cloud-Based Solutions Expand Access to State ServicesPodcast: The Cloud Advantage: Powering Public Sector ResilienceListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

In the age of AI, customer trust is a hard-won commodity. Join us in this episode of AWS Executive Insights as we speak with Matt Saner, AWS Security Solutions Architect Manager, about the critical intersection of AI, security, and customer trust. AWS security evangelist Clarke Rodgers sits down with Matt to learn how AWS collaborates with customers to address their security challenges in adopting generative AI. Saner emphasizes the importance of understanding industry-specific needs and translating customer feedback into product improvements. This can't-miss episode also introduces the Generative AI Security Scoping Matrix, a tool organizations can use to securely navigate AI implementation. This episode provides valuable insights for leaders seeking to implement customer-driven AI development while maintaining the highest standards of security and trust.

Matt “Kix” Kixmoeller, Chief Marketing Officer of Glean, shares how Glean partners with AWS to deploy secure, scalable AI solutions that help companies move from basic productivity tools to transformative business intelligence.Topics Include:Introduction to GleanGlean targets Global 2000 companies for AI transformationEnterprise AI needs company context: data, people, processesBottom-up approach: deploy to all employees firstFocus on business results, not just productivity gainsGlean Assistant provides daily AI tool for employeesGlean Agents platform enables natural language agent buildingOpen APIs export context to enterprise systemsStarted as enterprise search, evolved to knowledge graphsKnowledge graphs map content, people, projects, and processesIndividual knowledge graphs created for each personGlean WorkAI platform includes search, protect, agentsGlean Protect ensures data security and AI governancePlatform integrates with existing enterprise tools nativelyMCP enables connection to various AI systemsStrong growth: $100M ARR, $700M+ funding raisedAWS partnership provides models, security, and deploymentParticipants:Matt “Kix” Kixmoeller – Chief Marketing Officer, GleanFurther Links:Website: https://www.glean.com/Glean on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

On this TechMagic episode, hosts Cathy Hackl and Lee Kebler break down the latest trends shaping our AI-powered future, as well as the policy and state of AI in DC. From Meta's $100M AI recruitment strategies to their game-changing partnerships with Oakley and Prada for smart glasses, the duo explores how AI and hardware innovation are converging. They unpack the ethical and emotional nuances of human-AI relationships, the rise of AI-generated content, and how companies like Salesforce are integrating AI into core operations. Additionally, they discuss the Nintendo Switch 2's distribution challenges and Meta's ambitious hardware plans. Whether it's corporate AI integration, wearable tech, or the battle for AI talent, this episode offers a sharp look at the risks and opportunities driving tech's next chapter.Come for the Tech, stay for the Magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInKey Discussion Topics:00:00 Welcome to Tech Magic with Cathy Hackl & Lee Kebler04:12 The Dangers of AI Relationships: Why We Need Human Connection11:18 AI Regulation Debate: States' Rights vs Federal Control15:13 DC's Rising Role as a Tech Power Center23:54 Meta's Quest 3S Xbox Edition: A Game-Changing Partnership28:40 Nintendo Switch 2's Success and Hardware Challenges36:50 Meta vs OpenAI: The $100M Talent War43:12 Meta's Smart Glasses Evolution: Oakley & Prada Partnership48:00 Coming Next Week: Dating Robots & AI Love Stories Hosted on Acast. See acast.com/privacy for more information.

Kui Jia, Sumo Logic's Vice President of Engineering and Head of AI, shares how their AWS-powered AI agents transform chaotic security investigations into streamlined workflows.Topics Include:Kui Jia leads AI Engineering at Sumo LogicSREs and SOC analysts work under chaotic, high-pressure conditionsTeams constantly switch between different vendor tools and platformsInvestigation requires quick hypothesis formation and complex query writingSumo Logic processes petabytes of data daily across enterprisesCompany serves 2,000+ enterprise customers for 15 yearsPlatform focuses on observability and cybersecurity use casesInvestigation journey: discover, diagnose, decide, act, learn phasesData flows from ingestion through analytics to human insightsTraditional workflow relies heavily on tribal domain knowledgeSenior engineers create queries that juniors struggle to understandWar room situations demand immediate answers, not learning curvesContext switching between tools wastes time and creates frictionMultiple AI generations deployed: ML anomaly detection to GenAIAgentic AI enables reasoning, planning, tools, and evaluation capabilitiesMo Copilot launched at AWS re:Invent as AI agent suiteNatural language converts high-level questions into Sumo queriesSystem provides intelligent autocomplete and multi-turn conversationsInsight agents summarize logs and security signals automaticallyKnowledge integration combines foundation models with proprietary metadataAI generates playbooks and remediation scripts for automated actionsThree-tier architecture: Infrastructure, AI Tooling, and Application layersBuilt on AWS Bedrock with Nova models for performanceFocus on reusable infrastructure and AI tooling componentsData differentiation more important than AI model selectionGolden datasets and contextualized metadata are development challengesGuardrails and evaluation frameworks critical for enterprise deploymentAI observability enables debugging and performance monitoringEnterprise agents achievable within one year development timelineFuture vision: multiple AI agents collaborating with human investigatorsParticipants:Kui Jia – Vice President of AI Engineering, Head of AI, Sumo LogicFurther Links:Website: https://www.sumologic.com/Sumo Logic in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Wilson Patton, Solutions Architect for Trellix, demonstrates how their four-pillar Gen-AI framework transforms incident alerts into actionable intelligence.Topics Include:Wilson Patton: Trellix Solutions Architect, 20 years government experienceWitnessed evolution from basic firewalls to zero trust architecturesTrellix combines McAfee and FireEye heritage and capabilitiesAI integration isn't new - machine learning embedded for yearsPartnership with AWS Bedrock accelerates Gen-AI development capabilities2014: Developed Impossible Travel Analytic for anomaly detection2016: Launched Guided Investigations framework for SOC analysts2023: Introduced AI Guided Investigations with contextual understanding64% of public sector exploring AI adoption activelyOnly 21% have requisite data ready for trainingGen-AI won't magically clean up messy, siloed data74% of executives doubt AI information accuracy currentlyMonday morning alert queue: 76 high, 318 medium alertsAdversaries steal credentials 90 days before major incidentsCritical breadcrumbs hidden in low-priority informational alerts1000+ data-driven investigative questions developed over eight yearsSkilled analysts take too long reading all answersAutomate analysis, distill thousands down to ten critical alertsFour foundational pillars for effective, trustworthy Gen-AI implementationCybersecurity expertise essential - Gen-AI is just a toolFrameworks ensure reliability and consistent prompting for productionMultiple LLM models tested through AWS Bedrock platformQuality diverse datasets required for accurate question answeringGood prompts combine evidence, context, and comprehensive informationTesting shows order of magnitude price differences between modelsNova Micro provides cost-effective results for many scenariosPrompt engineering superior to fine-tuning for avoiding biasAgentic AI performs multi-step investigations with live dataStrategic model choice based on specific requirements and costsTransparent audit trails mandatory for government compliance requirements Participants:Wilson Patton – Solutions Architect, TrellixFurther Links:Website: https://www.trellix.comTrellix in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Everyone wants the latest and greatest AI buzzword. But at what cost? And what the heck is the difference between algos, LLMs, and agents anyway? Tune in to find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started. Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.