Podcasts about enterprises

Enterprises are significantly increasing their investments in AI governance as the risks associated with artificial intelligence become more apparent. A recent report indicates that 98% of organizations plan to boost their governance budgets in the coming financial year, with an average expected increase of 24%. This shift highlights the realization that managing AI is not a plug-and-play solution; organizations must establish multiple lines of defense to handle risks effectively. As AI technologies evolve, refining governance will be an ongoing process, especially as companies face incidents that could lead to substantial financial losses.Public cloud spending is projected to increase dramatically, primarily driven by generative AI workloads. A survey reveals that nearly half of IT leaders expect more than 30% of their cloud budgets to be allocated to generative AI in the coming years. This rapid adoption of generative AI applications necessitates improved cloud cost management strategies, as enterprises brace for higher infrastructure costs. Analysts warn that the financial models supporting this AI boom, particularly for companies like Oracle, which may need to borrow significantly to meet obligations, raise concerns about sustainability.Despite fears of job losses due to AI, a study from Yale University indicates that generative AI has not yet significantly disrupted the job market. The research shows only a slight change in the occupational mix since the launch of ChatGPT, with hiring in the tech sector remaining steady. A significant portion of tech employers plan to hire, particularly for roles related to AI, indicating that the demand for skills like Python and project management is driving this trend. The study suggests that while generative AI has transformative potential, it is too early to assess its long-term effects on employment.In a notable industry development, Huntress has partnered with SureWeb to expand its cybersecurity solutions, marking its first distribution deal. This collaboration allows Huntress's products to be available in the SureWeb marketplace, enhancing security offerings for managed service providers across various regions. The partnership emphasizes the importance of relationships over transactions, contrasting with larger marketplaces. This move reflects a growing trend where vendors prioritize community-focused partnerships, providing opportunities for service providers to access quality cybersecurity solutions while navigating the evolving landscape of AI and technology.Four things to know today 00:00 AI's Hidden Cost: Governance Budgets Up, Cloud Bills Soar, and Debt Piles High Behind the Boom05:25 Government Shutdown and Policy Turmoil, Not AI, Emerging as Real Threats to U.S. Employment10:17 Pax8's “Managed Intelligence” Push Highlights Growing Tension Between AI Hype and MSP Readiness13:28 Huntress and Sherweb Redefine Channel Strategy with Relationship-First Distribution Model This is the Business of Tech.    Supported by:  https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorshiphttps://www.auvik.com/              Webinar:   https://bit.ly/msprmail  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 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

88% of top sites lack proper schema markup for LLM discovery. Guy Yalif, Webflow's enterprise strategist, shares proven frameworks for organizations navigating AI-powered search optimization where "everyone is learning" and competitive advantages remain accessible. The discussion covers strategic resource allocation for LLM discovery initiatives and organizational integration approaches that move beyond isolated AI projects to company-wide search transformation strategies.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On Episode 603 of Impact Boom, Alastair Duncan of Owls Eat Rats discusses harnessing innovative, natured-based business models to transform agriculture practices and address wicked environmental problems, and why networks of small innovative enterprises are essential for catalysing impact-led movements and systemic change. If you are a changemaker wanting to learn actionable steps to grow your organisations or level up your impact, don't miss out on this episode! If you enjoyed this episode, then check out Episode 402 with Sally Giblin on helping children understand how to nurture the environment -> https://bit.ly/4mMpXk3 The team who made this episode happen were: Host: Indio Myles Guest(s): Alastair Duncan Producer: Indio Myles We invite you to join our community on Facebook, Twitter, LinkedIn or Instagram to stay up to date on the latest social innovation news and resources to help you turn ideas into impact. You'll also find us on all the major podcast streaming platforms, where you can also leave a review and provide feedback.

Guest: Banele Mhaleni.

Keynotes always set the tone for a conference, but the real insights come when you unpack what they mean for the future!!!!At CommunityLIVE, I spoke with Alan Pelz-Sharpe, Founder, Deep Analysis to get his perspective on the keynote takeaways. We explored what enterprises truly expect from AI today, not just innovation, but real outcomes that improve how they work.We also looked ahead at the future of agentic AI and how it could reshape enterprise operations. Alan's perspective made it clear that while the technology is advancing quickly, the focus will remain on trust, usability, and value for customers.Conversations like these help bridge the big stage announcements with the practical realities enterprises face every day.#data #ai #CommunityLIVE25 #hyland #theravitshow

My interview with Sunny Lu, Co-Founder and CEO of VeChain, on enterprise blockchain, sustainability, and why adoption is accelerating. - VeChain has focused on enterprise blockchain since 2015, with use cases from anti-counterfeiting to sustainability - Regulation and better infrastructure are lowering barriers for corporate adoption of blockchain - Blockchain is not just about productivity but about relationships between enterprises and individuals - Enterprises are moving beyond track-and-trace to user engagement and shared sustainability missions - More than 90% of enterprise blockchain conversations now focus on public chains rather than private ones - ESG remains a key driver, with VeChain working on carbon credits, food safety, and sustainability management - Despite China's cautious stance on crypto, blockchain development remains strong, with Hong Kong acting as a testing ground  Powered by Phoenix Group The full interview is also available on my YouTube channel: YouTube: http://bit.ly/46RaXwk

Bridging the Gap: How Snow Leopard AI Empowers Enterprises with Real-Time Data for AI AgentsIn today's fast-paced business world, the ability to connect AI agents to real-time, operational data is crucial for decision-making and efficiency. In a recent episode, host Josh Elledge interviewed Deepti Srivastava, Founder and CEO of Snow Leopard AI, to discuss how enterprises can leverage AI agents effectively while ensuring access to accurate, actionable data. Deepti shares practical guidance for integrating AI, overcoming technical challenges, and maximizing the value of AI-driven workflowsThe Role of Real-Time Data in AI Agent SuccessAI agents are transforming how businesses operate, but their effectiveness hinges on real-time, accurate data. Deepti explains that AI is only as strong as the data it consumes, and fragmented or outdated data can lead to poor outcomes. Enterprises face challenges integrating AI into existing infrastructures, bridging gaps between AI teams and operational systems, and maintaining data security and freshness.Snow Leopard AI provides a platform that abstracts these infrastructure complexities, allowing AI teams to focus on business logic instead of plumbing. By connecting AI agents directly to operational data sources—ranging from SQL databases to SaaS APIs—companies can automate workflows, improve decision-making, and unlock insights that were previously siloed.For organizations beginning their AI journey, Deepti recommends starting with high-impact, low-risk use cases such as customer support, internal knowledge agents, or finance operations. Once proven, the deployment can expand to more complex workflows, leveraging both structured and unstructured data to maximize AI's value.About Deepti SrivastavaDeepti Srivastava is the Founder and CEO of Snow Leopard AI and a seasoned expert in AI infrastructure. She draws on her experience at Google and Oracle to help enterprises connect generative AI agents with real-time business data, enabling faster, more accurate decisions across industries.About Snow Leopard AISnow Leopard AI provides a platform that bridges AI agents with operational enterprise data, simplifying integration, ensuring security, and supporting scalable AI deployment. The platform empowers businesses to automate workflows, improve decision-making, and harness AI across finance, healthcare, SaaS, and legal sectors.Links Mentioned in this EpisodeWebsite: snowleopard.aiLinkedIn: Deepti SrivastavaKey Episode HighlightsUnderstanding the critical role of real-time, operational data for AI agentsOvercoming enterprise integration challenges and infrastructure gapsPractical steps for deploying AI agents across customer support, finance, and internal systemsLeveraging unstructured data for multimodal AI applicationsExpert recommendations for governance, data quality, and phased adoptionConclusionIntegrating AI agents with real-time enterprise data is no longer optional—it's essential for business agility and competitive advantage. Deepti Srivastava's insights and Snow Leopard AI's platform provide a roadmap for enterprises to connect AI effectively, automate complex workflows, and unlock new value from existing systems.

The guys sit down with Sterling Lowe of Indus Co Enterprises out of Baltimore Maryland to hear about how this industrial coatings company transitions to snow management operations in the winter. Indus Co is truly a family affair, and Sterling takes us through all the roles his family members play in the company as they tackle winters in Maryland.

Gayatri Kalyanaraman is in conversation with Sunil David, Digital Technology Consultant |Ex-Regional Director(IOT)- AT&T  we discuss What does it take to evolve from installing multiplexers in the 90s to becoming one of India's most respected IoT evangelists and startup mentors? In this episode, Sunil David shares his three-decade journey across telecom, IoT, and digital transformation. Early Career FoundationsSunil began his professional journey in 1994, right after completing his Electronics and Communication Engineering. Unlike many peers who shifted to unrelated fields, he was one of the “lucky few,” as he puts it, to continue working in his chosen discipline for decades.First role – Multiplexers & Railway Networks His very first assignment was with a small company where he installed multiplexers across India's railway network. These devices connected mainframe computers to remote terminals, ensuring reliable communication across long distances. This hands-on experience with infrastructure and connectivity became the bedrock for his later work in telecom.CMS Computers – Networking Era He then moved to CMS Computers, focusing on LAN and WAN networking solutions. This gave him exposure to enterprise IT and network integration, skills that were highly relevant when India's telecom sector was on the cusp of privatization.Telstra Wecom (1996) – Entering Telecom's Liberalization Phase A pivotal career move came in 1996 when Sunil joined Telstra Wecom, a joint venture between Telstra Australia and VSNL (later Tata Communications). This was just two years after India opened its telecom sector to private players—a historic shift.AT&T and Passion for IoTAfter short but formative experiences in networking, VSAT installations, and enterprise software, 2000 marked a turning point when Sunil joined AT&T. What began as a role in sales grew into a 14-year career where he rose to become Regional Head for South India, handling enterprise connectivity services.Focused on telecom and enterprise connectivity, including mobile, landline, and data services for large enterprises.Built strong CXO-level relationships, gaining insight into how enterprises viewed technology not just as infrastructure, but as enablers of business growth.Developed a strategic mindset: learning how to sell not just technology, but business outcomes—a skill that would become vital in his IoT work. After a short return to Telstra, Sunil came back to AT&T in 2017—this time with a completely different mandate: to lead AT&T's IoT business in India and ASEAN.This was when IoT adoption globally was still nascent, and in India it was just taking shape. Sunil recalls that he had been personally fascinated by IoT since 2011–2012, when the idea of “things being connected to the internet”—from cars to machines—caught his imagination.Technology Evangelism & MentorshipSpeaking engagements became not just a platform to promote AT&T's services, but also a way to educate enterprises and build credibility in the ecosystem.At AT&T, Sunil saw how business and technology intersect—sparking his next chapter as a technology evangelist with a focus on strategy, startups, and purpose-driven innovation.His first keynote was on 9th August 2017.From there, he went on to speak at 400+ industry forums, covering IoT, AI, metaverse, cybersecurity, and digital transformation. He transitioned from corporate leader to solopreneur and mentor, working with startups in AI, IoT, sustainability, and climate change.His contributions to CII, NASSCOM, and initiatives like Women Wizards Rule Tech, where he has mentored thousands of women in digital skills.How he manages his time, creates content for 32,000+ LinkedIn followers, and leverages tools like ChatGPT and Perplexity to boost productivity.Practical advice for professionals: continuous learning, attending industry forums, building a legacy, and balancing financial, physical, and spiritual well-being.At this time Sunil David, works on immersing himself in a specific set of fields to be a thought leader, and fully dedicate himself to mentorship, sustainability, and giving back. Quotable Moments from Sunil David“Imagine the value you can unlock when billions of assets—from machines in a factory to vehicles on the road—start generating data. The opportunities to monetize and transform industries are humongous.”“We are clearly seeing the move from being reactive to predictive. Thanks to AI and IoT, enterprises can act proactively before something causes damage—whether it's a machine on a shop floor or even human health.”“Optimizing energy usage is not just good for the environment—it makes business sense. Lower energy bills mean direct savings, while reducing carbon emissions benefits the planet.”“Learning never stops. We are in a lifelong journey of learning and unlearning. The day you stop learning is the day you stop growing.”“It's not just about financial success. You have to ask yourself—what legacy am I leaving behind? Will people remember the impact I created?”“My forte is B2B, especially AI and IoT for manufacturing and sustainability. Staying focused allows me to truly add value to startups, rather than spreading myself thin.”About Sunil DavidSunil David is an Independent Digital Technology Consultant with over 30 years of experience in the IT and Telecom Industry . He's spent almost 20 years with AT&T India. In his last stint with AT&T held from March 2017 until April 2022 , he was the Regional Director – IOT( India and ASEAN ). He's had extensive experience in Business Strategy , Sales , Business Development and Alliance & Partnership building during my AT&T stints .Sunil is associated as a Gold Mentor with T-Hub ( Telangana Hub) based in Hyderabad one of India's largest startup incubators supporting some of India's most innovative technology startups specifically focused on areas around Smart Manufacturing and ESG.Sunil is a much sought after speaker in several industry forum on topics related to IOT, AI, 5G, Digital Transformation , Industry 4.0 and 5.0 , Gen AI, Metaverse, Future of Technology , Future of Work , Digital Marketing , Cyber security , Quantum Computing, ESG etc. He has also authored a number of articles for various technology websites, B2B Tech and telecom related publications and a few prominent media houses like Fortune India, Indian Express, Moneycontrol, ET Edge , Communications Today, Voice and Data, etc.Sunil is actively engaged with Industry bodies like CII, NASSCOM , IET, IACC etc working on a number of National initiatives around Digital Transformation advocacy and awareness for Enterprises especially SMEs, Digital Skilling for Women, Startup-Corporate connect , ESG awareness etc.Sunil is an alumnus of Symbiosis Institute of Management Studies, Pune ( Post Graduate Diploma in Business Administration with specialization in Marketing )Sunil can be reached at https://www.linkedin.com/in/sunil-david-8165971/

Anthony interviews renowned defensive line coach Mark Hall and discusses the New York Giants' defensive line. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jeff Hancher is a military veteran turned leadership developer, keynote speaker, and national bestselling author dedicated to empowering leaders to “lead with clarity, courage, and compassion.” Jeff Hancher He's the author of Firm Feedback in a Fragile World, and he designs workshops and tools to help organizations build trust, improve team performance, and navigate difficult conversations.https://www.jeffhancher.com/

CCR Publisher/Editor sat down with Mike Storms from Mike Storms Enterprises.Mike is a husband, father of four, US Marine, 7th degree black belt, NFL and college coach, CEO, executive and corporate coach, speaker, author, trainer.Mike coaches and builds strategic plans, visions and teams. Improving culture and success with small and large organizations. Enjoy the conversation.https://form.jotform.com/sensei.storms/StormsHealthLLC#coaching #improving #selfimprovement  #believe #winning #success #nevergiveup  #goals #mindset #consistency #marines 

On Episode 601 of Impact Boom, Gaby Arenas de Meneses of Catalyst Now discusses why leading with trust and patiently co-creating solutions is vital for advancing peace building efforts and transformative impact globally, and the key mindset shifts enabling social entrepreneurs to tackle complex problems and drive systemic change. If you are a changemaker wanting to learn actionable steps to grow your organisations or level up your impact, don't miss out on this episode! If you enjoyed this episode, then check out Episode 378 with Jeroo Billimoria on impact led entrepreneurial networks catalysing systems change -> https://bit.ly/46wS3JV The team who made this episode happen were: Host: Indio Myles Guest(s): Gaby Arenas de Meneses Producer: Indio Myles We invite you to join our community on Facebook, Twitter, LinkedIn or Instagram to stay up to date on the latest social innovation news and resources to help you turn ideas into impact. You'll also find us on all the major podcast streaming platforms, where you can also leave a review and provide feedback.

AI is quickly moving from boardroom buzzword to boardroom headache. Enterprises are waking up to the fact that bringing large language models in-house is not just about performance or cost, but about control, accountability, and trust. In this episode of Tech Talks Daily, I sit down with Octavian Tanase, Chief Product Officer at Hitachi Vantara, to unpack what this shift really means for business and technology leaders. Octavian explains why governance has become the defining challenge of the AI era. Companies are under pressure not only to innovate but also to meet new regulatory demands and maintain trust with customers. That requires more than patching together tools or hoping for transparency from public AI providers. It means creating governance frameworks that deliver traceability, auditability, and explainability as standard practice, not as afterthoughts. We explore why vector databases may need something like a time-machine capability to document when and how information is added, giving enterprises a provable audit trail. This level of accountability supports both internal oversight and external compliance, turning abstract AI ethics debates into real operational requirements. Our conversation also turns to the role of infrastructure. Hitachi Vantara's VSP One, with its tagline “One Data Platform, No Limits,” has been built to simplify data complexity across block, file, and object storage while providing a unified foundation for AI workloads. Octavian shares how this unified approach helps enterprises run compliant, explainable, and efficient AI across hybrid environments that span both on-premises and the cloud. This isn't just a story about technology, but about the future of trust in digital business. If AI remains a black box, its value will always be limited. If it becomes explainable, traceable, and accountable, it can transform not only efficiency but also relationships with customers, regulators, and partners. So, how can leaders strike the right balance between governance and innovation without slowing down progress? Octavian leaves listeners with a forward-looking perspective on what the next few years of enterprise AI will demand, and why those who build on strong governance today may end up with the most resilient advantage tomorrow.   ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

Discover how enterprises can successfully adopt and scale agentic AI to create real business impact in this conversation with Florian Douetteau, CEO and co-founder of Dataiku. Florian shares why democratizing AI across the enterprise is essential, how to prevent agent sprawl, and what it takes to build a governance framework that keeps your data secure while enabling innovation. Learn about Dataiku's enterprise AI blueprint, its partnership with NVIDIA, and how global companies are using agentic workflows to accelerate R&D, optimize operations, and stay competitive. If you're a business leader, CTO, or data professional looking to scale AI safely and effectively, this episode is your playbook for the future of enterprise AI. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI 00:00 Intro 00:31 Florian's Background & Dataiku's Founding   03:00 Enterprise Blueprint for AI with NVIDIA   05:13 Unique Needs of Financial Services   07:09 Building Agents on Dataiku   09:22 Permissioning & Governance   11:17 Agent Lifecycle Management   13:20 State of Agent-to-Agent Systems   15:02 Real-World Use Cases of Agents   16:28 The Most Complex Agents in Production   19:01 Future Vision: Headless Organizations   21:04 Human-Like Qualities of Agents   24:56 The LLM Mesh & Model Abstraction   28:55 Guardrails & Compliance   31:12 No-Code + Code-Friendly Collaboration   36:12 Breaking Silos & Centers of Excellence   41:36 Distribution & Seat Allocation   43:34 Most Common Agents by Industry   47:02 The State of Enterprise AI Adoption  

In this episode of the CPQ Podcast, host Frank Sohn sits down with Matthias Radner of Resolto, a Festo company, to discuss his journey from face-to-face mattress sales to enterprise CPQ software. Matthias shares how early lessons in customer interaction shaped his approach to selling Configure, Price, Quote solutions, and why patience is key in long sales cycles—like when a customer signed an offer he created four years earlier. Listeners will hear about Resolto's Configon CPQ platform, designed for both SMB plug-and-play deployments (with average implementation times of just four weeks) and enterprise-level projects worth €400K–€500K. Matthias explains the importance of CAD integration via Cadenas, their unique use of Google Blockly-style rule building, and how Resolto works closely with parent company Festo to shape its roadmap, including upcoming AI-driven innovations. Beyond technology, Matthias opens up about his personal passions—from competing in international hip hop dance championships to playing tennis for relaxation today. The conversation also explores Resolto's growing footprint across DACH, Italy, the Netherlands, the US, and Japan, and why industries like machine engineering and electrical devices are key focus areas. If you're interested in visual product configurators, CAD-driven CPQ solutions, and strategies for simplifying complex product sales, this episode offers valuable insights into the evolving world of CPQ.

“AI has eaten software for lunch, but it might be eating communications for dinner,” says Dario Betti, CEO of the Mobile Ecosystem Forum (MEF), in a wide-ranging conversation with Doug Green, Publisher of Technology Reseller News. In this podcast, Betti discusses his recent article, The AI Gold Rush Isn't Going Elon Musk's Way, and explores how mobility has become the front line in the AI revolution. With OpenAI's ChatGPT generating $2 billion in consumer spending from its mobile app—compared to Elon Musk's Grok's estimated $25 million—Betti argues that AI's future is already in the hands of mobile users. For channel partners, MSPs, and UCaaS/CPaaS providers, the implications are profound. Enterprises must rethink how end-users are accessing services today and how they'll expect to interact in the next five to ten years. “Seventy percent of AI integrations in enterprises have failed,” Betti warns, “but doing nothing is not an option. If you don't experiment, you'll be left behind.” The discussion spans: Why mobile is the true AI battleground The legal and competitive drama between Apple, OpenAI, and Elon Musk's Grok The risk of subscription fatigue—and why users still pay for AI today How AI may reshape UCaaS, CPaaS, and contact center experiences Practical advice for MSPs and resellers preparing for 2026 Betti emphasizes that enterprises and partners alike must begin experimenting, even at the risk of failure. The stakes are too high to wait. To learn more about MEF, visit mef.mobi.

Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, operating a Global Delivery Centre in Letterkenny, Ireland, has partnered with Qualcomm to set up the 'TCS Innovation Lab', a space for co-innovation with Qualcomm in Bengaluru, India. TCS and Qualcomm will co-create smart, scalable, and sustainable Edge AI capabilities utilising Qualcomm platforms for industries moving towards a software-driven approach to make their systems more efficient and resilient in the lab. The co-innovation lab will enable the creation of customised low-cost solutions that can be deployed on intelligent devices, on location and in real time to streamline processes at large enterprises. Located in India's start-up and innovation capital, Bengaluru, the lab will be part of the IoT-focused Bringing Life to Things Network lab. The lab, which is equipped with 5G private network infrastructure and other hi-tech network and equipment, will develop capabilities for sectors that need agile IoT solutions, such as security and surveillance, healthcare, smart infrastructure, and manufacturing. With its strategic location and advanced infrastructure, the lab is designed to support the rapid prototyping, experimentation, and large-scale implementation of Edge AI capabilities built on a Software Defined Everything (SDx) approach. Savi Soin, Sr. Vice President & President, Qualcomm India, said, "Our collaboration with TCS marks an important step in bringing practical, real-time Edge AI solutions to industries that are rapidly evolving. The TCS Innovation Lab will serve as a space where advanced AI and connectivity meet real-world challenges. Together, we aim to develop solutions that are cost-effective, efficient, scalable, and tailored to the needs of enterprises looking to modernise and grow in a software-defined world." Enterprises across sectors need to develop and deploy intelligent devices that can autonomously make decisions to run processes efficiently, creating a rise in demand for smart, compact, energy-efficient and high-performance self-healing devices. TCS shall leverage advanced Edge AI and SDx capabilities that are hardware-agnostic, highly configurable, secure, and service-oriented. These will help global enterprises build robust, agile systems that adapt quickly to changes in industry ecosystems and business processes. The proposed solutions shall find applications in medical devices, smart handhelds for controlling industrial processes and machinery, smart infrastructure and advanced safety and surveillance mechanisms. Running TCS' SDx capabilities on Qualcomm Technologies' Edge AI-enabled System-on-Chips will connect the physical and digital worlds more seamlessly. V Rajanna, Business Group Head, Technology, Software and Services, TCS, said, "We are excited to announce the launch of a state-of-the-art co-innovation lab focused on advancing Software Defined Everything (SDx) and Edge AI platforms. This lab will drive the development of next-generation solutions for diverse applications - including intelligent medical devices, smart industrial handhelds, and advanced safety and surveillance systems. TCS remains committed to investing in innovation and harnessing the power of AI to help enterprises unlock greater agility, efficiency, and long-term business value." The latest collaboration between TCS and Qualcomm Technologies, Inc., builds on the large transformational projects carried out by both companies across engineering services, including silicon solution design and IT support. Leveraging this collaboration with Qualcomm Technologies, TCS recently developed a real-time smart visual anomaly detection capability for material inspection for a large automotive manufacturer. The NextGen approach processes live camera feeds to scan for surface defects for industrial, aerial and terrestrial inspections. It identifies even the tiniest imperfections on various surfaces, including steel and painted sur...

The issue is data fragmentation, where untrustworthy data is siloed across different databases, SaaS applications, warehouses, and on-premise systems,” Vladimir Jandreski, Chief Product Officer at Ververica, tells Christina Stathopoulos, the Founder of Dare to Data. “Simply, there is no single view of the truth that exists. With governance and data quality checks, these are often inconsistent, AI systems end up consuming incomplete or conflicting signals,” he added, setting the stage for the podcast.In this episode of the Don't Panic, It's Just Data podcast, Stathopoulos speaks with Jandreski about the vital role of unified streaming data platforms in facilitating real-time AI. They discuss the difficulties businesses encounter when implementing AI, the significance of going beyond batch processing, and the skills necessary for a successful streaming data platform. Applications in the real world, especially in e-commerce and fraud detection, show how real-time data can revolutionise AI strategies.Your AI Could Be a Step Behind Jandreski says that most organisations continue to be engineered on batch-first data systems. That means, they still process information in chunks—often hours or even days later. “It's fine for reporting, but it means your AI is always going to be one step behind.”However, “the unified streaming platform flips that model from data at rest to data in motion.” A unified platform will “continuously capture the pulse” of the business and feed it directly to AI for automated real-time decision making. Challenges of Agentic AI Considering that the world is moving toward the era of agentic AI, there are some key challenges that still need to be addressed. Agentic AI means autonomous agents make real-time decisions, maintain memory, use tools and collaborate among themselves. Because they act on their own decisions, regulating them is necessary. Building agents is not the main challenge, but the real challenge is “actually giving them the right infrastructure.” Jandreski highlights. Alluding to an example of AI prototyping frameworks such as Longchain or Lama Index, he further explained that those frameworks work for demos. In reality, however, they can't support a long-running system trigger workflows that demand high availability, fault tolerance, and deep integration with the enterprise data. This is because enterprises have multiple systems, and many of them are not connected. This way, the data forms into silos. When data is in silos, a unified streaming data platform becomes the key solution. “It provides a real-time event-driven contextual runtime where AI agents need to move from the lab experiments to production reality.”TakeawaysUnified streaming data platforms are essential for real-time AI.Batch processing creates lag, hindering AI effectiveness.Data fragmentation leads to unreliable AI decisions.A unified platform ensures data is fresh and trustworthy.Real-time AI requires a robust data infrastructure.Organisations must move beyond legacy batch systems.Governance and data quality are critical for AI success.Real-world applications...

To get to the benefits that AI offers, organizations have to address their technology infrastructure in ways that are much broader than historical approaches. Senior analyst Greg Macatee joins host Eric Hanselman to delve into what's required and what enterprises are identifying in the recent Voice of the Enterprise AI and Machine Learning study. Enterprises are struggling with raising the success levels of AI projects. Over 60% report moderate to severe challenges in achieving AI success. Bringing together the computational power and the right quality data in the right locations can be complicated in the hybrid environments that more are operating. It's not just a matter of being more selective with use cases, AI requires a set of organizational skills that have to be honed. Starting small and iterating can reduce risk while building competency.  Infrastructure has to shift in new ways, as well. Data management processes that can build the necessary data pipelines to feed AI applications bring together a broader set of tech disciplines. There are new wrinkles in AI infrastructure ecosystems, with new providers looking to address supply chain constraints, like the Neocloud or GPU as a Service  (GPUaaS) providers. Even hyperscalers are looking to them to meet surging demand in a tight market. Those new options offer new choices, but enterprises need to match them with their AI goals. More S&P Global Content: Navigating the AI infrastructure landscape The path from LLMs to agentic AI Next in Tech | Ep. 225: Security for MCP For S&P Global Subscribers: AI infrastructure strategies evolve amid widespread data challenges – Highlights from VotE: AI & Machine Learning Generative AI Market Monitor & Forecast AI infrastructure: Trends, thoughts and a 2025 research agenda Credits: Host/Author: Eric Hanselman Guest: Greg Macatee Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

Mandates, metrics, and momentum decide whether great ideas ever reach the boardroom. In this episode of the Innovation Storytellers Show, I sit down with Jonathan Livescault, Managing Director at Itonics, to unpack how enterprise innovators move from hunches to hard results.  Jonathan shares the origin of Itonics' “Big Picture” framework, built to give leaders a clear mandate, shared governance, and the right KPIs across the entire innovation lifecycle. He explains why ideation is only one piece of the puzzle, how strategic foresight defines the “where to play,” and what it takes to run disciplined pilots that fold fast and scale faster. You'll hear how global brands replace scattered spreadsheets with a single source of truth, create a visible performance cockpit for executives, and align risk appetite with a balanced portfolio of bets. We explore culture, transparency, and the handoff problem that kills promising pilots, then dig into practical ways to set stage gates, secure ownership, and measure progress in real time. If you've ever struggled to turn innovation into a repeatable business function, this conversation offers a step-by-step view of the processes, mindsets, and tooling that make it work at scale. Tune in to learn how to give your program a clear mandate, choose smarter metrics, and build momentum that lasts.  

In this episode, we will dive deep into Innovation Sandbox on AWS, a new AWS solution offering that transforms the management of temporary sandbox environments, by offering a ready-made solution that enables customers to reduce sandbox setup time from weeks to hours while automating spend controls, security policies, and usage monitoring. Learn how AWS customers – from Universities to Enterprises – are using the Innovation Sandbox on AWS to empower their teams to learn, experiment, and innovate faster on AWS. Product page: https://aws.amazon.com/solutions/implementations/innovation-sandbox-on-aws/ Implementation Guide: https://docs.aws.amazon.com/solutions/latest/innovation-sandbox-on-aws/solution-overview.html Source code on GitHub: https://github.com/aws-solutions/innovation-sandbox-on-aws

News and Updates: In 2025, “computer literacy” means more than navigating systems — it's about collaborating with AI, exercising critical thinking, and adapting to rapid change. While most job postings still only ask for basic skills, AI fluency is emerging as the new digital divide. Experts warn that overreliance on tools like ChatGPT risks eroding foundational skills, but argue AI can strengthen capability when paired with judgment and training. Continuous upskilling is now seen as essential for career resilience. The UK government is consulting on legislation to ban ransomware payments by the public sector and critical national infrastructure, alongside mandatory reporting for other organizations. The goal is to disrupt cybercriminals' business model and improve intelligence sharing. While 72% of respondents back the ban, experts warn it could push attacks toward private firms, raise remediation costs, and leave public bodies vulnerable unless security investments increase. Wealthy and high-profile individuals are turning to “cybersecurity concierges” — digital bodyguards offering tailored protection against hacking, identity theft, and reputational risk. Services range from $1,000 to $50,000+ per year and often include data scrubbing, dark-web monitoring, and personalized cyber hygiene plans. While some argue similar protection can be achieved with off-the-shelf tools, demand is rising as clients seek peace of mind and 24/7 access to experts. Enterprises clinging to Windows 10 face steep costs as Microsoft phases out support. Nexthink research shows extended support could exceed $7.3 billion globally, with fees starting at $61 per device in year one and doubling annually. Despite a 33% drop in Windows 10 usage this summer, 121 million devices may still run it after the October 14 cutoff. Analysts warn delays heighten security risks and create fragmented employee experiences, urging businesses to accelerate upgrades.

Artificial intelligence (AI) is not long just a buzzword, but a pivotal force driving unprecedented business transformation and growth. The technology is fundamentally reshaping how businesses in Ireland operate, innovate, and compete. According to the Dell Innovation Catalyst Study, 76% of organisations based in Ireland are already considering AI and GenAI a key part of their business strategy, with 84% reporting substantial ROI and productivity gains from adopting these technologies. Moreover, 66% of Irish organisations are at early to mid-stage in their AI and GenAI adoption journey, while 90% see strong opportunities to leverage Agentic AI within their business operations. However, there are complexities involved with fully harnessing the power of GenAI. To build and train GenAI models, organisations need vast amounts of information. In turn, these same models also generate vast quantities of data to go back into the business. So, the question each business leader must ask before embracing AI and GenAI is: Are our storage solutions up to the task? The solution is scalable, secure, and economically sound data architecture that will set apart the organisations simply running in the AI race, and those leading it. Storage solutions for the GenAI age For GenAI to be successfully deployed, organisations must rethink, rearchitect and optimise their storage to effectively manage GenAI's hefty data management requirements. By doing so, organisations will avoid a potential slowdown in processes due to inadequate or improperly designed storage. The reality is that traditional storage systems are already struggling to keep pace with the explosion of data, and as GenAI systems advance and tackle new, more complex tasks the requirements will only increase. In other words, storage platforms must be aligned with the more complex realities of unstructured data, also known as qualitative data, and the emerging needs of GenAI. In fact, unstructured data accounts for over 90% of the data created each year - largely due to a rise in human-generated data, meaning the sphere is made up of cluttered and muddled columns of analysis. Enterprises need new ways to cost-effectively store data of this scale and complexity, while still providing easy and quick access to it and protecting it against cyber criminals. Unstructured data specifically is of interest to hackers due to its value and sheer volume. Organisations are seeking to enhance how they manage data - whether it's moving, accessing, scaling, or safeguarding it. In the pursuit of rapid improvement, many have adopted solutions that store data across several public cloud platforms. While these public cloud environments can deliver immediate benefits, such as increased flexibility and availability, they often introduce longer-term complications. Over time, organisations may face rising costs associated with moving data into and out of different clouds, heightened security risks, and challenges when attempting to optimise their data across these disparate environments. For generative AI to reach its full potential, it requires straightforward, reliable access to quality data; unfortunately, strategies that prioritise public cloud-only adoption above all else frequently struggle to meet these requirements. Organisations should instead look to adopt a multicloud by design approach. This will help them unlock the full potential of multicloud in the short and long term, without being constrained by siloed ecosystems of proprietary tools and services. Multicloud by design brings management consistency to storing, protecting and securing data in multicloud environments. Investing in new storage technologies Businesses need new, novel approaches that cater to GenAI's specific requirements and vast, diverse data sets. Some of these cutting-edge technologies include distributed storage, data compression and data indexing. Distributed storage enhances the scalability and reliability of GenAI systems by...

Mike Kelly, a veteran of senior leadership roles at Michelin and Macy's, now coaches business owners and managers through his advisory, Right Path Enterprises. His mission: to help leaders guide their organizations more effectively by first learning to lead themselves. Unlike many experts, Mike believes that genuine influence begins with leading yourself. Investing in personal growth pays dividends at work, at home, and in the community, he says. Mike is the author of Leaderfluence: Secrets of Leadership Essential to Effectively Leading Yourself and Positively Influencing Others. Among the topics Mike discusses on this week's episode are when to trust the data over your own instinct, how to keep top talent without paying more than you can afford, and why you should encourage your employees to take risks at work. Mike also outlines seven priorities that will enable leaders to look back with confidence, knowing they stayed aligned with what matters most to them. His approach delivers a double benefit: leaders grow as individuals while becoming more effective and inspiring managers. Monday Morning Radio is hosted by the father-son duo of Dean and Maxwell Rotbart. Photo: Mike Kelly,  Right Path EnterprisesPosted: September 15, 2025 Monday Morning Run Time: 48:378 Episode: 14.15 POPULAR EPISODES: Authors Ken Blanchard and Randy Conley Offer 52 Ways to Bolster Employee Satisfaction and Productivity The Enduring Ability of “The Power of Habit” and “Smarter Faster Better” to Improve Your Life Bestselling Author Joanne Lipman Shares Her Formula for Professional and Personal Reinvention

Why listen: Critical vulnerabilities are lurking in the chips that power our devices, AI isn't just a tool—it's a weapon, and space-based systems are now front-lines in the war for cyber dominance. If you care about enterprise security, national infrastructure, or future tech risk, this conversation will change the way you think. In this episode, you'll discover: What chip-level vulnerabilities really mean for enterprise security—and how one weak link can compromise entire systems The double-edged nature of AI: how it can strengthen defenses and create new attack vectors Emerging threats in space cybersecurity, including satellite networks, communication infrastructure, and regulatory gaps Concrete strategies from experts for anticipating and mitigating these risks Featuring Angela Brescia (CEO, Synderys), Trent Teyema (Founder & President, CSG Strategies), and Dr. David Bray (Distinguished Chair, Accelerator, Stimson Center) — leaders at the intersection of tech, defense, and policy. Tune in every Friday at 11 AM PT / 2 PM ET for DisrupTV — your weekly deep dive into enterprise technology, innovation, and digital transformation. If you find value in this episode, please subscribe, rate & review, and share with someone who cares about the future of security.

A&N Electric Cooperative v. Dietzel Enterprises, Inc.

The phrase “AI agent” still brings to mind chatbots handling customer queries. Fast forward to today - AI agents are far more versatile, representing a new generation of systems capable of perceiving, reasoning, and acting autonomously. These bots are beginning to reshape how enterprises operate, not just in customer service but across software development, data analytics, and operational workflows.In this episode of Tech Transformed, Dare To Data Founder Christina Stathopoulos explores the rapid rise of AI agents with Ben Gilman, CEO of Dualboot Partners. Together, they unpack how AI agents differ from traditional automation and what this shift means for software development, enterprise operations, and the future of productivity.AI Agents vs. Traditional AutomationUnlike traditional automation, which follows strict, deterministic rules, AI agents can adapt to changing inputs, analyze complex data sets, and make autonomous decisions within defined parameters. This allows them to tackle tasks that were previously too intricate or time-consuming for automated systems. Dualboot Partners helps organizations harness these AI agents, integrating them into workflows to deliver real business value through a combination of product, design, and engineering expertise.“The biggest difference with an AI agent, between a standard tool, is that the agent can perceive information and reason about it, providing context and insights you don't normally get in an algorithm.” — Ben Gilman, CEO, Dual Boot Partners.The Future of AI in EnterpriseOrganisations face several hurdles when integrating AI agents, including defining clear use cases, understanding the probabilistic nature of AI reasoning, and incorporating agents into existing processes and workflows. Despite the challenges, the potential payoff is substantial. AI agents can boost productivity, improve decision-making, and make enterprises more agile. As these systems mature, humans and AI are increasingly collaborating as true partners, reshaping what the workplace and work itself look like.Takeaways:AI Agents vs. Traditional Automation: AI agents can perceive and reason, offering more context and adaptability compared to deterministic systems.Real-World Applications: Examples include virtual vet agents and data analytics tools that enhance productivity and decision-making.Challenges in Adoption: Organizations face hurdles in defining specific use cases and integrating AI agents effectively.Future of AI in Tech: AI agents are expected to significantly boost productivity and innovation in software development and enterprise operations, with AI-first approaches like Dualboot's "DB90" driving structured adoption and accelerating modernization.Chapters0:00 - 3:00: Introduction to AI Agents3:01 - 6:00: Differences from Traditional Automation6:01 - 12:00: Real-World Applications and Examples12:01 - 18:00: Challenges in Adoption18:01 - 22:00: Future Impact on Tech and Operations22:01 - 24:00: Conclusion and Final ThoughtsAbout Dualboot Partners

What begins as a story about basketball evolves into a powerful conversation about grief, legacy, and the future of funeral service software.It's personal, smart, and packed with fresh ideas!

In this episode of the Product & Packaging Powerhouse, host Megan Young Gamble reconnects with longtime friend Marc Winston, Senior Director at National Minority Supplier Development Council Inc.® (NMSDC®) and the President and CEO of Marc Winston Enterprises. Marc and Megan reminisce on growing up in Little Rock, Arkansas, along with Marc's journey from early sports and educational influences, a robust corporate career in logistics, supply chain and supplier diversity at Walmart. The conversation dives deep into the value of supplier diversity, the power of certifications (like NMSDC and WBENC), and the importance of intentional networking and relationship-building for brands and businesses seeking corporate partnerships. Marc emphasizes how certifications provide access, not guarantees,  sharing actionable advice on leveraging networks, staying resilient, and scaling businesses. The episode wraps with rapid-fire fun facts and practical takeaways for entrepreneurs looking to grow through inclusion and strategic connections.Affiliate & Other Links: [Megan Young Gamble Links][AFFILIATE] Ready to crank out your content in as little as 5 minutes? Use Castmagic, AI powered tool to take your content creation from overwhelmed to overjoyed by saving hours of developing content. Save 20 hours by Signing up today! https://get.castmagic.io/Megan [FREEBIE] Learn about “day in the life” of a Packaging Project Manager → Get our “Starter Packaging PM Freebie”  [link] https://glc.ck.page/thestarterpackagingprojectmanager [FREEBIE] Access commonly referenced organizations and tools in ONE PLACE with our handy guide HERE [link] https://bit.ly/OSTPlay 2[WATCH OUR EPISODES] Subscribe & Access our Video Vault YouTube Channel [ link] https://bit.ly/GLConYouTubeJoin our Email List  [link] https://glc.ck.page/55128ae04b [FOLLOW & CONNECT] with Megan on LinkedIn [link] https://linkedin.com/in/megangambleLearn about GLC, Packaging & Project execution firm for CPG brands http://www.getlevelconsulting.com[WORK WITH MEGAN]  @ GLC, Schedule Discovery Call   [link] https://calendly.com/getlevelconsulting/15-minute-insight-session[Powerhouse Guest Marc's LINKS]LinkedIn: linkedin.com/in/marc-winston-774179151 Email Address: mwinstonenterprises@yahoo.comInstagram: https://www.instagram.com/_m.winston/?hl=enFacebook: https://www.facebook.com/m.winston.8?mibextid=ZbWKwLNational Minority Supplier Development Council Inc.® (NMSDC®) : https://nmsdc.org/Episode Quotes:.Certification is like a passport,  it opens the door, but you still have to take the trip.Everybody needs someone advocating for them in rooms they're not in.A fast no isn't failure. Sometimes it's the first step toward a slow yes.Supplier diversity is about access, advocacy, and advancement, not handouts.Your why gets you in the room. Your execution keeps you there.The salt from rejection today can turn into sugar tomorrow, if you put in the work.Resilience in sports taught me resilience in business, you adjust, you pivot, and you keep playing.Success in supplier diversity isn't about luck. It's about showing up, following up, and staying ready.

In this episode of the Midweek Takeaway, we explore BSF Enterprise, a disruptive biotech venture at the intersection of luxury and material innovation. Inspired by Charles Archer's recent piece, “A Disruptive Biotech Venture at the Intersection of Luxury and Material Innovation,” we're joined by Geoff Baker and Che Con from BSF to discuss their pioneering work in lab-grown leather. Charles sets the scene before we dive into how BSF is shaping the future of sustainable luxury, redefining materials for fashion and beyond. Disclaimer & Declaration of Interest This podcast may contain paid promotions, including but not limited to sponsorships, endorsements, or affiliate partnerships. The information, investment views, and recommendations provided are for general informational purposes only and should not be construed as a solicitation to buy or sell any financial products related to the companies discussed. Any opinions or comments are made to the best of the knowledge and belief of the commentators; however, no responsibility is accepted for actions based on such opinions or comments. The commentators may or may not hold investments in the companies under discussion. Listeners are encouraged to perform their own research and consult with a licensed professional before making any financial decisions based on the content of this podcast.

Cyberattacks aren't just about hackers in hoodies anymore. Today, we're up against professionalized, well-funded organizations that run like businesses. They use AI to crack defenses, run labs that simulate the tools we rely on, and rake in trillions while defenders struggle to keep pace. The scary part? Even the strongest companies and governments can fall behind when the threat landscape moves this fast. My guest, Evan Powell, has spent nearly 30 years in the cybersecurity world. He's the founder and CEO of Deep Tempo, and a serial entrepreneur who's helped industries from cloud data to resilience engineering make big transitions. Evan knows what it looks like when attackers have the upper hand, and he's seen firsthand how enterprises try to shift the balance. In this conversation, Evan explains why compliance checkboxes aren't enough, why raising the cost of an attack is often more realistic than stopping one outright, and how AI is reshaping both sides of the fight. He also shares the creative ways defenders are adapting, from honeypots to sock puppets, and the simple steps every one of us can take to make life harder for attackers. Show Notes: [00:57] Evan Powell introduces himself as founder and CEO of Deep Tempo, with nearly 30 years in cybersecurity and tech innovation. [02:39] He recalls a high-profile spearphishing case where the CIA director's AOL email and home router were compromised. [03:51] Attackers are professionalizing, running AI-powered labs, and making trillions while defenders spend billions and still fall behind. [07:06] Evan contrasts compliance-driven “checkbox security” with threat-informed defense that anticipates attacker behavior. [09:40] Enterprises deploy creative tactics like honeypots and sock puppet employees to study attackers in action. [12:22] Raising the cost of attack through stronger habits, better routers, and multi-factor authentication can make attacks less profitable. [15:01] Attackers are using AI to morph and simulate defenses, while defenders experiment with anomaly detection and adaptive models. [20:56] Evan explains why security vendors themselves can become attack vectors and why data should sometimes stay inside customer environments. [24:50] He draws parallels between fraud rings and cybercrime, where different groups handle exploits, ransomware, and money laundering. [26:29] The debate over “hacking back” raises legal and policy questions about whether enterprises should strike attackers directly. [30:18] Network providers struggle with whether they should act as firewalls to protect compromised consumer devices. [34:59] Data silos across 50+ vendors per enterprise create “Franken-stacks,” slowing real-time defense and collaboration. [37:28] AI agents may help unify security systems by querying across silos and tightening the OODA loop for faster response. [39:10] MITRE's ATT&CK framework and open-source collaboration are pushing the industry toward more shared knowledge. [41:05] Evan acknowledges burnout in cybersecurity roles but sees automation and better tools improving day-to-day work. [42:59] Final advice: corporations should rethink from first principles with data-centric solutions, and consumers must build protective habits like MFA and secret family phrases. Thanks for joining us on Easy Prey. Be sure to subscribe to our podcast on iTunes and leave a nice review.  Links and Resources: Podcast Web Page Facebook Page whatismyipaddress.com Easy Prey on Instagram Easy Prey on Twitter Easy Prey on LinkedIn Easy Prey on YouTube Easy Prey on Pinterest Evan Powell - DeepTempo Evan Powell - LinkedIn

Causam Enterprises, Inc. v. ITC

In this episode, Jack Cochran and Matthew James are joined by Akash Ganapathi, CEO of Opine, to discuss how AI strategies differ between startups and enterprises in the presales space. They explore the myth of AI replacing SEs, the importance of specialization vs. generalization, and how AI can help presales teams manage more revenue per team member while focusing on strategic, relationship-building activities. Follow Us Connect with Jack Cochran: https://www.linkedin.com/in/jackcochran/ Connect with Matthew James: https://www.linkedin.com/in/matthewyoungjames/ Connect with Akash Ganapathi: https://www.linkedin.com/in/akash-ganapathi/  Links and Resources Mentioned Join Presales Collective Slack: https://www.presalescollective.com/slack Opine: https://tryopine.com/ Contact Akash directly: akash@tryopine.com Timestamps 00:00 Welcome 04:35 Why AI strategy differs for startups vs enterprises 09:27 Debunking the myth of AI replacing SEs 18:35 The human element in buying and selling 24:35 How enterprises can leverage existing knowledge bases 28:12 The paradox of considering AI for every task 32:14 Future predictions for 2026-2027 Key Topics Covered Startup vs Enterprise AI Strategy Startups benefit from generalist approaches and bottom-up experimentation Enterprises need specialized, top-down AI strategies to avoid redundancy The role of specialization vs wearing multiple hats The AI Replacement Myth Why the "AI SE" that replaces human SEs doesn't work SEs do much more than just answer technical questions The importance of relationship building and strategic thinking Current AI Limitations Context window constraints (around 1 million tokens currently) Retrieval Augmented Generation (RAG) accuracy at ~75% Why breakthrough improvements are needed for true automation The Future of Presales with AI More revenue managed per team member Shift toward hiring less experienced SEs with AI enablement Focus on strategic consulting rather than administrative tasks Practical AI Implementation Draft-and-approve workflows for deliverables Automating account research, meeting prep, and RFP responses Using AI for onboarding and knowledge enablement Mid-Market Recommendations Lean toward enterprise-style, forward-looking strategies Enable not just current team but future hires Focus on cross-organizational enablement (AEs, product, marketing)  

In This Episode What does it take to turn a small business into a valuable, scalable enterprise? That's the focus of this conversation with Michael Crow. In her interview, host Adi Klevit explores Michael's journey from corporate executive to serial entrepreneur. Michael explains how he leveraged acquisitions to build companies, why systems are the backbone of scaling, and how staying ahead of technology trends makes or breaks growth. He also shares his approach to integrating small businesses into franchise platforms to accelerate their performance. Michael highlights the importance of processes and procedures in preparing for a business sale. Together with Adi, he emphasizes that scaling a company isn't just about making it attractive for buyers—it's about creating a business that can run without the owner. Their discussion provides a clear roadmap for entrepreneurs who want to maximize value and achieve freedom through systemization.  

Most people think private equity means gutting companies and squeezing margins. Neal Cobb is proving them wrong.After raising over $20 million and scaling his delivery startup to 100,000 drivers before selling to 7-Eleven, Neal could have retired. Instead, he's building something that challenges everything we think we know about private equity.At Equity X, they're acquiring legacy businesses and turning them into employee-owned enterprises. No quick flips. No cultural destruction. Just long-term value creation where employees actually benefit from the success they help create.In this DealQuest conversation, Neal shares how he went from running dice games in high school to building a white-label delivery empire to reimagining what private equity can be. His insights on partnerships, timing deals, and betting on people over ideas will change how you think about business growth.Neal's approach reveals what happens when you prioritize people and culture alongside profits.This is a perfect listen for business leaders exploring acquisition strategies and sustainable growth models.• • •FOR MORE ON THIS EPISODE:https://www.coreykupfer.com/blog/nealcobb• • • FOR MORE ON NEAL COBBhttps://www.linkedin.com/in/neal-cobb-4a4084179/www.equityx.co FOR MORE ON COREY KUPFERhttps://www.linkedin.com/in/coreykupfer/https://www.coreykupfer.com/ Corey Kupfer is an expert strategist, negotiator, and dealmaker. He has more than 35 years of professional deal-making and negotiating experience. Corey is a successful entrepreneur, attorney, consultant, author, and professional speaker. He is deeply passionate about deal-driven growth. He is also the creator and host of the DealQuest Podcast.Get deal-ready with the DealQuest Podcast with Corey Kupfer, where like-minded entrepreneurs and business leaders converge, share insights and challenges, and success stories. Equip yourself with the tools, resources, and support necessary to navigate the complex yet rewarding world of dealmaking. Dive into the world of deal-driven growth today!

We complete our description and commentary on the results of Sectigo's survey of enterprise preparedness for Post Quantum Cryptography (PQC).

"If you're currently using free Ubuntu, you're getting supported Ubuntu Pro as part of your VCF license — which is amazing." – Thibaut Rouffineau, Canonical At VMware Explore 2025, Doug Green, Publisher of Technology Reseller News, spoke with Thibaut Rouffineau, Vice President of Marketing at Canonical, about how Canonical is elevating Ubuntu into the heart of enterprise private cloud. Canonical, the publisher of Ubuntu and a leader in securing open-source for enterprises, featured prominently in VMware's major announcements. The news: Ubuntu Pro is now bundled with VMware Cloud Foundation (VCF) licenses, instantly providing enterprise customers with long-term support, compliance, and hardened security — at no extra cost. Rouffineau explained that this recognition of Ubuntu as a first-class enterprise Linux within VCF is about much more than operating systems. Enterprises can now confidently run workloads across VMs, manage Kubernetes clusters with less disruptive upgrades, and accelerate container adoption on a secure and scalable foundation. Since the announcements, VMware Explore attendees have been eager to understand how these changes impact their modernization journey. Canonical's answer: what was once free Ubuntu now comes with enterprise-grade support, helping organizations move faster while reducing risk. For more information, visit Canonical.com.

Back in 2017, Google published the research that sparked the entire generative AI boom. But when OpenAI launched ChatGPT in 2022, Google was caught off guard. Fast forward to 2025, and Google's own AI, Gemini, is no longer a rushed response. It's a full-grown product, one the company is pushing hard by bundling it with Workspace and Google Cloud. In India, that strategy is already visible. Enterprises are adopting Gemini for everything from customer service to search to creative media. But here's the twist: India's cloud market is big on adoption but light on innovation, which means price matters. And Google is betting Gemini will give it the edge.Tune in.Daybreak is produced from the newsroom of The Ken, India's first subscriber-only business news platform. Subscribe for more exclusive, deeply-reported, and analytical business stories.

The skills and sensibilities we needed in the industrial age are no longer working. But according to my guest today, Saqib Rasool, we are approaching skills development as if we were machines - just sprinkle some knowledge or insert some new information and BAM we will transform our leadership style. Instead, he offers a different way to navigate these new skills and improve performance.Today, we discuss how the leadership paradigm has changed and why our approaches to skill development often fail, because they rely on people fitting into rational machine models - which they do not! We discuss examples of how one crucial mindset shift works better, and why breakdowns are not a bad thing, but an opportunity for leaders to shift their mindset, engage in tough conversations, and listen to what is important to others - thus building the new leadership skills you need to succeed. We discuss how even the field of change management has changed and how you can shift from “power over” leadership models to “power with” models that lead to better results.To access the episode transcript, please search for the episode at TheEmpathyEdge.comKey Takeaways:Humans don't give feedback; machines give feedback. Humans give opinions, both good and bad.The most dangerous and unproductive leader is the one who believes they have nothing else to learn.Be willing to set aside what you believe as true. Breakdowns can only be solved by being willing to hear the truth, no matter what it is. "Even in industrial environments, the value is created in our ability to coordinate action with each other in conversations, to deal with breakdowns with each other, and to really see possibilities for innovation might exist in the breakdowns." — Saqib RasoolEpisode References: The Bed of Procrustes: Philosophical and Practical Aphorisms by Nassim Nicholas TalebFrom Our Partner:SparkEffect partners with organizations to unlock the full potential of their greatest asset: their people. Through their tailored assessments and expert coaching at every level, SparkEffect helps organizations manage change, sustain growth, and chart a path to a brighter future.Go to sparkeffect.com/edge now and download your complimentary Professional and Organizational Alignment Review today.Saqib Rasool, CEO, ConceivianSaqib is a serial entrepreneur, coach, and author. Starting his career at Microsoft, he later built several startups and founded a start-up accelerator. Saqib's passion for cultivating leaders and entrepreneurs led him to study human potential, teamwork, innovation, entrepreneurship, and communications. Saqib has coached countless changemakers to unfold their potential, see the breakdowns ripe with opportunities, and set bold missions. He lives in the Seattle area and travels globally for work.Connect with Saqib:Conceivian: conceivian.com X: x.com/SaqibRasool LinkedIn: linkedin.com/in/saqibrasool Facebook: facebook.com/saqibrasool Instagram: instagram.com/saqibrasoolofficialConceivian's Emerging Leaders Program. A Revolutionary Approach To Building Leadership, Management, and Communication Capacities for Upward Mobility In Career & Performance in Enterprises: conceivian.com/elp Connect with Maria:Get Maria's books on empathy: Red-Slice.com/booksLearn more about Maria's work: Red-Slice.comHire Maria to speak: Red-Slice.com/Speaker-Maria-RossTake the LinkedIn Learning Course! Leading with EmpathyLinkedIn: Maria RossInstagram: @redslicemariaFacebook: Red SliceThreads: @redslicemaria

We begin to go over the results of Sectigo's recent survey of enterprises and their preparedness and plans for adopting Post Quantum Cryptography (PQC).

Officials say China has registered a net increase of nearly 20 million enterprises since the beginning of the 14th Five-Year Plan period in 2021. The State Administration for Market Regulation says China's business environment has continued to improve.

Send us a textJoin Nathan on this episode of BetaTalk as he sits down with Olly Cutting, Johann Kühns, and Pranjal Arya from HomeTree. The team from HomeTree shares their incredible journey, from a boiler installation company to a multifaceted energy services provider. We learn how Olly and Pranjal's economic backgrounds, combined with Johann's expertise in Climate Change management and finance from Imperial College London, have shaped their innovative, data-driven approach.The Customer Journey FlywheelThe conversation centers on HomeTree's innovative business model, structured around a "customer journey flywheel" with three key divisions:Home Cover: Offering service plans for boilers and heat pump installations, rivaling big players like British Gas.Renewable Installations: Specializing in the installation of solar, battery, and heat pump systems.Renewable Financing: A crucial division that helps customers overcome the significant upfront cost of new energy systems, making the transition more accessible.This flywheel model ensures that customers are supported at every stage of their energy transition.A Different Approach to AcquisitionNathan and his guests discuss HomeTree's unique strategy of acquiring local SME's (Small and Medium-sized Enterprises), like the respected IMS Heat Pumps Ltd led by Emma Bohan. They explore why this approach is so beneficial for both HomeTree and the acquired businesses. HomeTree's data revealed that customers prefer working with local installers, and this acquisition model allows them to scale while maintaining a personal touch.Beyond TechnologyThe discussion also highlights that the move to renewable energy isn't just a technological change; it's a behavioral shift for customers. Nathan shares his thoughts on how the Guild of Master Heat Engineers can collaborate with HomeTree to help both the company and its customers navigate this transition, building on the great conversation they started over dinner.

How do you pivot from an early idea that didn't work ➝ to building a global SaaS leader trusted by 700+ enterprises?In this full episode of the Prime Podcast, Khadim Batti (Co-founder & CEO, Whatfix) reveals the raw founder journey:The pivot moment that sparked WhatfixHustling with 500 cold emails to close first customersLanding a Fortune 10 client at $25/month (and why logos matter more than price)Why product-market fit keeps evolvingScaling SaaS from India ➝ US with 85+ Fortune 500 clientsRaising $270M and turning investors into growth partnersHow AI is shaping the future of digital adoption

The federal government has announced there'll be 22 grants made to social enterprises to help support marginalised communities. It's part of an $11 million investment aimed at tackling issues like long-term unemployment and discrimination. - Федеральное правительство объявило о выделении 22 грантов социальным предприятиям. Эта инициатива является частью инвестиции в размере 11 миллионов долларов, направленной на решение таких проблем, как долгосрочная безработица и дискриминация.

The federal government has announced there'll be 22 grants made to social enterprises to help support marginalised communities. It's part of an $11 million investment aimed at tackling issues like long-term unemployment and discrimination.

AI adoption is accelerating — and customer expectations are rising just as fast. Enterprises that lead in customer experience will be the ones that scale agentic AI across voice, video, digital, and chatbot channels — without losing accuracy, compliance, or trust. In this sponsored episode of The Modern Customer Podcast, I speak with Rishi Rana, CEO of Cyara, about how Cyara's AI-powered customer experience assurance platform helps enterprises continuously test, monitor, and validate every interaction before it reaches the customer. We cover: ✅ How to scale AI without sacrificing trust ✅ Building guardrails for compliance and transparency from day one ✅ Preventing silent failures that cost millions

"Innovate with us. Don't just issue an RFP—explore the art of the possible." — Dino Trevisani, Senior Vice President & Head of the Americas Region, Tata Communications In this in-depth conversation with Technology Reseller News Publisher Doug Green, Dino Trevisani outlines Tata Communications' strategy to deepen its U.S. presence by leveraging the company's expansive global infrastructure, deep industry expertise, and focus on end-to-end “digital fabric” solutions. Trevisani clarifies the scope of Tata Communications' business—often mistakenly conflated with other Tata Group companies—highlighting its capabilities across subsea fiber optic cables, cloud interconnectivity, IoT, security, customer interaction services, and live media streaming for global events such as Formula One and NFL Thursday Night Football. Looking at mid-2025 trends, Trevisani identifies three major forces shaping CIO priorities: Global supply chain and manufacturing shifts — Companies relocating or expanding operations require complex, compliant, and secure communications networks that span multiple countries. Network rationalization — Enterprises are seeking to consolidate and secure disparate networks, driving down costs and complexity. Edge computing and AI readiness — Preparing infrastructure today to support robotics, AI, and real-time applications that will demand near-100% network uptime. Trevisani's U.S. growth strategy targets companies with more than half of their operations outside the country—where Tata Communications already has dominant market presence—and those seeking to simplify complex, multinational communications environments. He stresses that the company's collaborative global leadership model and innovation-focused acquisitions position it as a proactive partner for clients facing rapid technology and market changes. The discussion also touches on opportunities in rural and underserved areas, the critical importance of subsea cables to the global economy, and the need for programmable, intelligent networks that can adapt to future technology shifts without costly infrastructure overhauls. Trevisani's advice for enterprises: fully understand your current network assets, anticipate where your market is heading, and work with innovation-minded partners to design flexible, resilient infrastructures. To learn more about Tata Communications' U.S. and global solutions, visit tatacommunications.com.

Hola, hola, amigas mías. Welcome back to another episode of Mujer De Éxito, Unbounded, the show where we talk about life, business, y todo lo que nos ayuda to step into our highest potential as MujerPreneurs. I'm your host, Marti Angel™, your Multiple Streams Queen, and today's episode is all about being empowered to empower—how building your business can also become a platform to uplift others. . Get your CELAVIVE mask here!! https://bit.ly/martisfavmask Grab your free resources here: https://stan.store/MartiAngel My FAV Affiliate links: Health & Wellness : https://bit.ly/joinmarti Affirmations Audio: https://martiangel.gumroad.com/ Check out some of my favorite journals and books here! https://amzn.to/3siywJ4 Get your Freebie -digital downloads here: stan.store/martiangel   TAKE THE FREE QUIZ “ WHAT IS YOUR ENTREPRENEURIAL ARCHETYPE” https://bit.ly/Mbizquiz CHECK OUT ALL THE SOCIAL MEDIA AND BUSINESS TOOLS I RECOMMEND https://amzn.to/3WDVMBm GET ALL OF MY EQUIPMENT HERE: http://bit.ly/MARTIANGELTOOLS%E2%80%8B Disclaimer Marti Angel is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to http://www.amazon.com .

Every enterprise is legit rushing to build AI agents.But there's no instructions. So, what do you do? How do you make sure it works? How do you track reliability and traceability? We dive in and find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.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:Google Gemini's Veo 3 Video Creation ToolTrust & Reliability in AI AgentsBuilding Reliable AI Agents GuideAgentic AI for Mission-Critical TasksMicro Agentic System Architecture DiscussionNondeterministic Software Challenges for EnterprisesGalileo's Agent Leaderboard OverviewMulti-Agent Systems: Future ProtocolsTimestamps:00:00 "Building Reliable Agentic AI"05:23 The Future of Autonomous AI Agents08:43 Chatbots vs. Agents: Key Differences10:48 "Galileo Drives Enterprise AI Adoption"13:24 Utilizing AI in Regulated Industries18:10 Test-Driven Development for Reliable Agents22:07 Evolving AI Models and Tools24:05 "Multi-Agent Systems Revolution"27:40 Ensuring Reliability in Single AgentsKeywords:Google Gemini, Agentic AI, reliable AI agents, mission-critical tasks, large language models, AI reliability platform, AI implementation, microservices, micro agents, ChuckGPT, AI observability, enterprise applications, nondeterministic software, multi-agentic systems, AI trust, AI authentication, AI communication, AI production, test-driven development, agent EVALS, Hugging Face space, tool calls, expert protocol, MCP protocol, Google A2A protocol, multi-agent systems, agent reliability, real-time prevention, CICD aspect, mission-critical agents, nondeterministic world, reliable software, Galileo, agent leaderboard, AI planning, AI execution, observability feedback, API calls, tool selection quality.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner