Podcasts about gsis

In this episode of Partnerships Unraveled, we sit down with Addie Finch, VP of Channels, Americas at Cato Networks, whose journey from TV news anchor to channel leader offers a masterclass in the power of messaging and relationship-driven strategy.Addie shares how her background in broadcast journalism gave her an edge in distilling complex solutions into clear, compelling narratives, a skill that's now central to how Cato communicates its unique position in the SASE market. We explore the importance of short-form messaging, persona-based enablement, and the critical difference between partner satisfaction and partner success.She also opens up about architecting a broad channel strategy that spans MSPs, VARs, GSIs, sub-agents, and more, as well as how Cato tailors its support to each route to market. From walking away from deals to protect partner trust, to redefining what “agility” means in a high-scale channel, this episode is packed with insights on leading with integrity, clarity, and speed.If you're designing channel strategies for scale or wrestling with how to earn and keep partner trust, this one is not to be missedConnect with Addie: https://www.linkedin.com/in/addiebfinch/_________________________Learn more about Channext

“This is a liberating moment for us—and for the enterprises we serve. We're combining forces to scale fast and deliver smarter CX solutions.” — Chris Marr, Pronetx Live from Enterprise Connect, Chris Marr and Yasser El-Haggan of Pronetx joined us for a special Technology Reseller News podcast to share big news: the merger of two AWS customer experience (CX) powerhouses—Pronetx and VT Team—to create a stronger, faster, and more specialized Amazon Connect services firm. AWS-Certified, Cloud-Focused, and Ready to Scale Pronetx, an AWS Service Delivery Partner specializing in Amazon Connect, helps customers—including Fortune 25 companies and federal agencies—migrate contact centers to the cloud and unlock the full potential of AWS technologies, including generative AI, chatbots, case management, and advanced analytics. “Many customers think they're on the cloud—but they're not truly leveraging it,” said El-Haggan. “We help them do more with their AWS investment.” With the merger, Pronetx is not only growing in capacity—it's expanding its focus. Together, the combined team will accelerate software development, build tools for CX teams, and help enterprises infuse generative AI into both front-end and back-office operations. A Boutique Partner, Backed by Deep Tech Expertise Unlike broad SIs, Pronetx operates as a boutique CX firm focused solely on Amazon Connect—a strategy that enables deeper specialization and faster time-to-value. “We're not generalists. We're laser-focused on customer experience, and that's what makes us an ideal partner—for enterprises and for SIs and GSIs,” said Marr. As one of AWS's launch partners for Amazon Q, Pronetx has already begun helping customers use agentic AI and natural language processing to deliver more intelligent, efficient, and personalized support. CX Trends, Real-Time Data, and GenAI Readiness One theme echoed throughout the podcast: AI won't work without great data. Marr emphasized that with the merger, the team now has expanded capability to understand, organize, and apply customer data to maximize GenAI performance. “It's impossible to succeed with GenAI without understanding your customer data. This merger gives us the team to do that at scale,” he added. With CX trends evolving fast—and customer expectations even faster—Pronetx is positioning itself as a partner of choice for cloud-first transformation. A Platform Built on Experience The announcement comes on the eighth anniversary of Amazon Connect, launched at Enterprise Connect 2017. El-Haggan, who helped lead that launch while at AWS, noted the full-circle moment. “Amazon Connect was born right here eight years ago. Now, we're taking it even further with this merger.” Learn More Visit pronetx.com

Manish Ballal is a GTM and Sales leader with over a decade of experience in the automation space. He is currently leading Generative AI initiatives at Amazon Web Services (AWS). He brings a wealth of experience from both large global technology companies and startups. Previously, he held leadership roles at major GSIs and had a significant tenure at Automation Anywhere. In this episode, we discuss: - Automation evolution - Enterprise deployments - Specific use cases - Challenges with security, AI agents - Process-first approach - Vertical Agents More information and Links: Connect with Manish: Linkedin.com/in/manishballal/ Visit Nandan on the web at nandan.info

In this episode of Partnerships Unraveled, we sit down with Torben Sebens, a veteran of the IT industry with over three decades of experience spanning engineering, sales, and partner ecosystems. Torben shares his expert insights on how the channel landscape has transformed and the critical role that partners play in today's fast-evolving technology space.Key topics we dive into:- The evolving value of partners in bridging technological innovation with client needs.- The rise of hyperscalers and their impact on traditional partner roles.- How global systems integrators (GSIs) are reshaping enterprise IT strategies.- The game-changing potential of AI and how it opens new opportunities for channel innovation.- Best practices for fostering collaboration and reducing channel conflict.Torben's unique perspectives, drawn from his deep engineering roots and sales leadership, make this a must-watch for channel professionals, partner marketers, and anyone looking to navigate the complexities of today's partner ecosystem.Tune in for actionable advice, thought-provoking stories, and strategies to enhance partner engagement and drive success in the channel.Connect with Torben: https://fr.linkedin.com/in/torben-sebens-8a8158_________________________Learn more about Channext

In the latest episode of the podcast “Changing Channels,” host Larry Walsh spoke with Trevor Vickery, the vice president and general manager of Intel's global partners and support organization, about the concept of the "Siliconomy" – or the Silicon Economy – and how semiconductors are driving a new wave of innovation and opportunity. The Siliconomy, a term coined by Intel, refers to the ubiquity of semiconductors in our digitally connected world. As Vickery explained, the need for compute power is growing exponentially, with the market expected to reach a trillion dollars in the next few years. This growth is driven by the increasing demand for connected devices and the need to modernize cities to accommodate the growing urban population. Intel sees its role in the Siliconomy as not only a supplier of technology but also as a key player in diversifying the semiconductor supply chain. The company is investing in expanding its manufacturing capacity in the U.S., Asia-Pacific, and Europe to ensure a more resilient and diverse supply chain. The conversation also touched on the importance of partnerships in the Silicon Economy. Vickery emphasized that no one company can go at it alone and that partnerships are critical to building solutions that meet the needs of customers. He highlighted Intel's Partner Alliance program as a mechanism for scaling these partnerships and bringing together ISVs, GSIs, and other partners to co-engineer solutions. When asked about the potential for new types of partners to emerge in the Siliconomy, Vickery acknowledged that Intel may need to get closer to the end consumers of technology to understand their unique use cases and workloads. However, he also stressed the importance of scale and the need for open standards to ensure that solutions can be easily deployed and run anywhere. Looking ahead, Vickery outlined Intel's agenda for facilitating the vision of the Siliconomy. He emphasized the need to work more closely with partners to develop the ecosystem, co-engineer solutions, and innovate on both the technology and business model side. As the world becomes increasingly digitally connected, the Siliconomy is poised to drive significant growth and opportunity. With partnerships and innovation at the forefront, companies like Intel are working to ensure that the infrastructure and solutions are in place to support this growth and drive the next wave of technological advancement.

Headlines: 17 Filipino seafarers hostaged by Houthi rebels, safe | P3.47 Billion Christmas Cash Gift, to be released by GSIS to pensioners | Couple who won in the lottery, gave out their money.You can also listen with Tagalog transcript and English translations here: https://www.tagalog.com/podcast/play.php?podcast_id=224Listen to all our transcribed episodes here: https://www.tagalog.com/podcast/

Picture this - the traditional transactional business model gradually making way for a dynamic, ecosystem-based SaaS landscape. Intriguing, isn't it? Our guest, Rob Spee, SVP of Channel and Alliances at Beyond Trust, and I delve into this transformative process, revealing the challenges, the necessary shifts in mindset, expectations, and language, and the pivotal role partners play in this transition. Rob's insights, drawn from his extensive experience in the channel world, shed light on the evolution of partnerships and their significance in the SaaS transformation. Channel strategy is not simply a buzzword but the backbone of this transformation. This episode uncovers how different partner types - from small resellers and distributors to boutique delivery partners and GSIs- orchestrate to contribute to this shift. We discuss how to streamline this transition for partners, with an emphasis on the customization of their experience based on their specific business models. And it doesn't stop there - we delve into the complexities of formulating unified compensation plans for sales and partner teams. Aligning partner interests with organizational goals and incentivizing right behavior is key, as Rob rightly points out. Trust me, you wouldn't want to miss Rob's valuable insights and experiences! So tune in, and let's navigate the SaaS landscape together._________________________Connect with the podcast hosts

In this episode of Tech Sales Insights, host Randy Seidl is joined by Kevin Purcell, a seasoned expert in selling to and with Global System Integrators (GSIs), and the Head of Global Strategic Partnerships at Hitachi Vantara. They explore the significance of GSIs in the tech industry, share valuable insights on how to effectively collaborate with these complex organizations, and offer practical strategies for companies of all sizes to leverage GSIs in their go-to-market approachKEY TAKEAWAYSUnderstanding GSIs: GSIs, or Global System Integrators, play a critical role in the IT industry, driving approximately 10% of the total market revenue. They work closely with enterprises to shape their digital transformation journeys.Investment in GSIs: To succeed with GSIs, companies must be prepared to make significant monetary and resource investments. The key is to pick the right GSI partner willing to collaborate and invest in a mutually beneficial partnership.Go-to-Market Strategies: Companies can achieve success with GSIs by focusing on specific niche areas or industry verticals. It's essential to establish relationships with senior personnel within the GSIs, align goals with their interests, and create joint offerings that add value to both parties.Executive Sponsorship: Building a strong relationship with an executive sponsor within the GSI can open doors to significant opportunities. These sponsors often have industry experience and connections that can benefit both companies.Building a GSI Team: Companies should assemble a team of experienced professionals who understand the complexities of working with GSIs. These team members should have global experience, industry knowledge, and the ability to build meaningful relationships.QUOTES"If you're not including GSIs in your indirect channel strategy, you might be missing out on a significant portion of the market opportunity.""Pick one GSI, make it successful, and then build from there.""Executive sponsors within GSIs can help advance your career within that organization by bringing revenue and value.""Investing in GSIs requires significant monetary and resource commitments, but the rewards can be substantial.""Understanding the unique persona within GSIs is crucial to building successful relationships."Find out more about Kevin Purcell through the links below:Greg Casale: https://www.linkedin.com/in/kevinpurcelllinkedin/This episode of Tech Sales Insights is brought to you by:Sales Community: https://www.salescommunity.com/Sandler: https://www.sandler.com/

BUSINESS: Buying spree boosts GSIS' Metro Pac stake | September 6, 2023Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe Visit our website at https://www.manilatimes.net Follow us:Facebook - https://tmt.ph/facebookInstagram - https://tmt.ph/instagramTwitter - https://tmt.ph/twitterDailyMotion - https://tmt.ph/dailymotion Subscribe to our Digital Edition - https://tmt.ph/digital Check out our Podcasts:Spotify - https://tmt.ph/spotifyApple Podcasts - https://tmt.ph/applepodcastsAmazon Music - https://tmt.ph/amazonmusicDeezer: https://tmt.ph/deezerStitcher: https://tmt.ph/stitcherTune In: https://tmt.ph/tunein #TheManilaTimes Hosted on Acast. See acast.com/privacy for more information.

At Cloud Next, Google showcased its strong leadership position in data and AI. In our view, Google's messaging, demos and tech-centric narrative have broad appeal for developers and next generation startups. As well, the company's focus on solutions, contrasts its strategy to the typically disjointed services we've seen from AWS over the past decade. Google also showed off an expanded ecosystem of GSIs and smaller CSPs, encouraging the broad use of Google's kit globally. While Google remains a distant third in the Iaas/PaaS race, with revenue one-fifth the size of AWS, it is playing the long game and betting the house on AI as a catalyst to its cloud future.In this Breaking Analysis we unpack the key takeaways from Google Cloud Next with Rob Strechay and George Gilbert. We'll share ETR data that positions Google's AI relative to other leaders and we'll contrast Google's data-centric strategy with traditional architectural models. Google Cloud Next Keynotes:https://cloud.withgoogle.com/nextAI shapes the narrative for Google Cloud Nexthttps://siliconangle.com/2023/08/29/old-new-ai-shapes-narrative-google-cloud-next/AnalystANGLE on theCUBE:https://www.youtube.com/watch?v=eHSOKi9yI50Day 2 Keynote Analysis:https://www.youtube.com/watch?v=mMw2Gv4UeAEAnalyst Angle:https://www.youtube.com/watch?v=VCvTYHrWEKY

BUSINESS: GSIS net income up nearly 2,000% in H1 | August 19, 2023Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe Visit our website at https://www.manilatimes.net Follow us:Facebook - https://tmt.ph/facebookInstagram - https://tmt.ph/instagramTwitter - https://tmt.ph/twitterDailyMotion - https://tmt.ph/dailymotion Subscribe to our Digital Edition - https://tmt.ph/digital Check out our Podcasts:Spotify - https://tmt.ph/spotifyApple Podcasts - https://tmt.ph/applepodcastsAmazon Music - https://tmt.ph/amazonmusicDeezer: https://tmt.ph/deezerStitcher: https://tmt.ph/stitcherTune In: https://tmt.ph/tunein #TheManilaTimes Hosted on Acast. See acast.com/privacy for more information.

Tercera is the leading growth private equity firm in the composable space, providing growth capital to systems integrators (including Orium). Think of Tercera as a VC but exclusively for growing SIs. In this episode, Bill and Michelle explain what they look for when making investments in SIs, how investment banking differs from private equity, consolidation within the SI ecosystem and more. Jason provides great context on the role that SIs play, why they took on growth equity from Tercera, and how he expects the SI space to evolve over time. - 1:35: What systems integrators are, the role they play in our ecosystem, etc. from an ISV standpoint - 03:17: Introducing our guests - 06:16: Explaining Terms: SI, GSI, agency and where Orium fits - 08:27: The Tercera business model, investment decisions - 12:45: What is an investment banker? - 14:02: Why do SIs build IP when they are ultimately paid on billable hours? - 17:37: There are commerce vendors out there who have substantial professional services teams, thereby competing for revenue. Why do they do that, how do you compete against a vendor's own staff? Thoughts on said venders. - 22:25: Evaluating SIs - what are the red flags? - 24:48: How does SI-focused PE differ from more traditional vendor-focused VC? - 29:27: "Real" AI is here. How does it impact business, both today and in the future? - 31:45: What's the decision process around doing in-house, staff aug, having a partner do piece(s) or the whole thing? What type of orgs choose which approach and why? - 34:02: Consolidation in the MACH SI space - why are the GSIs buying up smaller SIs in this market? - 36:32: Closing remarks

In this week's episode of the Microsoft Cloud Executive Enablement Series, Olga Karpman, Chief of Staff Engineering of the Industry Cloud, sits down with Allan Brown, Global Head of Product Microsoft Cloud for Industry, to discuss how Microsoft and its partners are revolutionizing the industry by delivering industry-specific solutions on top of the Microsoft Cloud. As the ISV Product team leader, Allan works closely with a prioritized set of Industry ISVs to ensure that clients can derive maximum value from their investments in technology. Partners who tune in will gain valuable insights into how Microsoft and its partners collaborate to accelerate client time to value by leveraging their combined strengths. This episode is a must-watch for anyone looking to stay ahead of the game in the industry. In This Episode You Will Learn: How Microsoft is building specific industry-focused services to accelerate time to value Three engagement patterns to frame the way we work with ISVs How to partner with Microsoft and what to consider when working with Industry ISVs. Some Questions We Ask: Why is partnering with GSIs crucial to our customers and Microsoft Cloud? How do you determine a partner's shift across Microsoft's core cloud solutions? Can you explain the Partner Solution Journey Map and how it will help our future partners? Resources: View Allan Brown on LinkedIn View Olga Karpman on LinkedIn Watch the full video episode on YouTubeDiscover and follow other Microsoft podcasts at microsoft.com/podcasts Download the Transcript Hosted on Acast. See acast.com/privacy for more information.

In this episode of GSIS, Jordan STARES FEAR IN THE EYE as he watches the 2000s Guilty Pleasure Reality Series Fear Factor, breaks down what makes a great challenge, and why everything needed OH NO SNAKES AND SPIDERS

On this week's Microsoft Cloud Executive Enablement Series episode, host Kelly Rogan, leader of the Microsoft Global Systems Integrators (GSI) and Advisory business sits down with Julie Sanford, Vice President of Programs & Experiences, on our Global Partner Solutions team. Julie's team leads the end-to-end go-to-market strategy across all programs and capabilities and is a critical partner to our GSIs. In this episode, Kelly and Julie discuss the opportunities they see for partners to grow with Microsoft, the evolution of our programs that will unlock future growth potential, and why we are launching this new enablement series. In This Episode You Will Learn: Current market opportunities and how Microsoft Cloud is growing The importance of Microsoft education and certification Ongoing sponsorships for deeper sales and technical training with your teams Some Questions We Ask: Why is now the time for our GSI partners to lean in with us? What is required to achieve our joint mission? What type of content can our partners expect from this series? Resources: View Julie Sanford on LinkedIn View Kelly Rogan on LinkedIn Watch the full video episode on YouTube Discover and follow other Microsoft podcasts at microsoft.com/podcasts Download the transcript Hosted on Acast. See acast.com/privacy for more information.

References Methods Enzymol. 2009; 457: 425–450 Endocrinology, Volume 155, Issue 5, 1 May 2014, Pages 1653–1666 Am J Physiol Endocrinol Metab. 2008 Dec; 295(6): E1287–E1297 --- Send in a voice message: https://podcasters.spotify.com/pod/show/dr-daniel-j-guerra/message Support this podcast: https://podcasters.spotify.com/pod/show/dr-daniel-j-guerra/support

This is the final of four podcasts that focuses on the value that partners are experiencing from engagements with Palo Alto Networks and its technology. We're back with SVP, Global Business Development & Ecosystems at Exclusive Networks, Denis Ferrand-Ajchenbaum, IDC's Paul Edwards. Learn more in PARTNER SECURITY GROWTH AND VALUE: How Partners Are Creating Services Opportunities with Palo Alto Networks an IDC eBook & infographic available on the partner portal now. About the Guests Paul Edwards is the Director of Software Channels & Ecosystems at IDC, where he focuses solely on providing research-based partner strategy advice to top software and cloud suppliers. Within this role, Paul is focused exclusively on providing research-backed guidance to leading ICT vendors on partner strategy in the software market (e.g. applications, application development and deployment, and system infrastructure software), whether on premise or in the cloud. As part of his research, Paul extensively studies vendor and partner dynamics as they relate to and impact channel strategy. This includes analysis of business models and practices in the development, implementation, and management of effective partner strategies across the breadth of partner activities, such as resale, services development, software development, services provisioning, and more. Before coming to IDC, Paul spent a year at Info-Tech Research Group as Director of Research for its vendor research services group, and previously spent 10 years at IDC in a number of key roles focused on providing partner and SMB market guidance to leading ICT firms globally. His industry experience includes a role as Channel Marketing Manager at Compaq Computer, and Associate Editor of Channel Business magazine. Denis Ferrand-Ajchenbaum, SVP Global Business Development & Ecosystems at Exclusive Networks, joined Exclusive with over 30 years of experience in enterprise IT including stints at value-added distributors, resellers, and vendors. As SVP Global Business Development & Ecosystems, he is responsible for maximising the value and global penetration of existing vendor relationships while scouting and acquiring the next generation of Exclusive Networks' trusted digital infrastructure portfolio. Denis is also tasked with driving the strategy for our transactional partners – global system integrators (GSIs) and worldwide reseller network – and non-transactional partners – VCs, educational institutions and international and national bodies. In addition, Denis spearheads the strategy and growth of our innovative subscription platform, X-OD. About Exclusive Networks Exclusive Networks is a trusted cybersecurity specialist addressing these demands with cloud and cybersecurity services. Powered by high-performing technology, supported by an extensive partner ecosystem, delivered by industry-leading talent, and driven by our services 1st ideology. We are leading the way to a data-driven digital future. Learn more about the distributor now. Trusted. Forever relevant.

This is the third of four podcasts that will focus on the value that partners are experiencing from engagements with Palo Alto Networks and its technology. Learn more in PARTNER SECURITY GROWTH AND VALUE: How Partners Are Creating Services Opportunities with Palo Alto Networks an IDC eBook & infographic available on the partner portal now. About the Guests Paul Edwards is the Director of Software Channels & Ecosystems at IDC, where he focuses solely on providing research-based partner strategy advice to top software and cloud suppliers. Within this role, Paul is focused exclusively on providing research-backed guidance to leading ICT vendors on partner strategy in the software market (e.g. applications, application development and deployment, and system infrastructure software), whether on premise or in the cloud. As part of his research, Paul extensively studies vendor and partner dynamics as they relate to and impact channel strategy. This includes analysis of business models and practices in the development, implementation, and management of effective partner strategies across the breadth of partner activities, such as resale, services development, software development, services provisioning, and more. Before coming to IDC, Paul spent a year at Info-Tech Research Group as Director of Research for its vendor research services group, and previously spent 10 years at IDC in a number of key roles focused on providing partner and SMB market guidance to leading ICT firms globally. His industry experience includes a role as Channel Marketing Manager at Compaq Computer, and Associate Editor of Channel Business magazine. Denis Ferrand-Ajchenbaum, SVP Global Business Development & Ecosystems at Exclusive Networks, joined Exclusive with over 30 years of experience in enterprise IT including stints at value-added distributors, resellers, and vendors. As SVP Global Business Development & Ecosystems, he is responsible for maximising the value and global penetration of existing vendor relationships while scouting and acquiring the next generation of Exclusive Networks' trusted digital infrastructure portfolio. Denis is also tasked with driving the strategy for our transactional partners – global system integrators (GSIs) and worldwide reseller network – and non-transactional partners – VCs, educational institutions and international and national bodies. In addition, Denis spearheads the strategy and growth of our innovative subscription platform, X-OD. About Exclusive Networks Exclusive Networks is a trusted cybersecurity specialist addressing these demands with cloud and cybersecurity services. Powered by high-performing technology, supported by an extensive partner ecosystem, delivered by industry-leading talent, and driven by our services 1st ideology. We are leading the way to a data-driven digital future. Learn more about the distributor now. Trusted. Forever relevant.

Former state auditor Heidi Mendoza explains why congressmen shouldn't include SSS and GSIS contributions in the proposed Maharlika Wealth Fund.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.11.29.518315v1?rss=1 Authors: Frorup, C., Gerwig, R., Sondergaard Svane, C. A., Mendes Lopes de Melo, J., Floyel, T., Pociot, F., Kaur, S., Storling, J. Abstract: ObjectiveEndoC-{beta}H5 is a newly established human beta-cell model which may be superior to previous models of native human beta cells. Exposure of beta cells to proinflammatory cytokines is a widely used in vitro model of immune-mediated beta-cell failure in type 1 diabetes and we therefore performed an in-depth characterisation of the effects of cytokines on EndoC-{beta}H5 cells. MethodsThe sensitivity profile of EndoC-{beta}H5 cells to the toxic effects of the pro-inflammatory cytokines interleukin-1{beta} (IL-1{beta}), interferon {gamma} (IFN{gamma}) and tumour necrosis factor- (TNF) was examined in titration and time-course experiments. Cell death was evaluated by caspase 3/7 activity, cytotoxicity, viability, TUNEL assay and immunoblotting. Mitochondrial function was evaluated by extracellular flux technology. Activation of signalling pathways and major histocompatibility complex (MHC) class I expression were examined by immunoblotting, immunofluorescence, and real-time quantitative PCR (qPCR). Glucose-stimulated insulin secretion (GSIS) and cytokine-induced chemokine secretion were measured by ELISA and Meso Scale Discovery multiplexing electrochemiluminescence, respectively. Global gene expression was characterised by stranded RNA sequencing. ResultsCytokines increased caspase activity and cytotoxicity in EndoC-{beta}H5 cells in a time- and dose-dependent manner. The proapoptotic effect of cytokines was primarily driven by IFN{gamma}. Cytokine exposure caused impaired mitochondrial function, diminished GSIS, and induced secretion of chemokines. At the signalling level, cytokines increased the phosphorylation of signal transducer and activator of transcription 1 (STAT1) but not c-jun N-terminal kinase (JNK) and did not cause degradation of nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor (I{kappa}B). MHC class I was induced by cytokines. Cytokine exposure caused significant changes to the EndoC-{beta}H5 transcriptome including upregulation of HLA genes, endoplasmic reticulum stress markers, and non-coding RNAs. Among the differentially expressed genes were several type 1 diabetes risk genes. ConclusionsOur study provides detailed insight into the functional and transcriptomic effects of cytokines on EndoC-{beta}H5 cells. This knowledge will be helpful for future investigations studying cytokine effects in this cell model. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Why does “networking” get such a bad rap? This week's guest, Matt McRoberts, SVP of Global Alliances at Braze — one of our favorite partners at one of our favorite platforms — explores why too many of us are “fair-weather networkers,” leveraging our contacts only when we need something. Matt shares a better, more consistent approach — cultivating and connecting with our professional communities and customers digitally and in person aiming for authentic, win-win relationships. Matt is one of the OG Braze employees — starting way back when Braze was still Appboy — and has watched the platform grow into a publicly-traded company and a leading provider of automated and personalized omnichannel messaging. In his role, Matt oversees the ecosystem strategy at Braze focusing on technology integrations, regional reselling, and channel development as well as partnerships with MSPs including GSIs, consultancies, and agencies. All of the above is ultimately about relationships — with customers and your professional network — and Matt is here to demonstrate how great relationships are forged and nurtured over time.Topics Discussed:How Braze is changing in the coming monthsWhat it means to be a CRMMatt's favorite Braze client success storiesProviding value to networks in good times and badKey messaging and engagement that customers and fans expect from brands 

Exclusive Networks has joined forces with security leaders in calling on the industry to take global action in a bid to end the recruitment crisis in cybersecurity, which is currently faced with an estimated shortfall of 2.7 million professionals. The Paris-headquartered global cybersecurity specialist is one of the founding partners supporting an initiative launched today by investment and advisory firm NightDragon and Next Gen Cyber Talent, a non-profit cyber education provider, to raise $1 million to fund cybersecurity courses for students in the US from diverse and disadvantaged backgrounds. Exclusive will be lending its experience and expertise to the campaign having recently established a partnership with California Polytechnic State University, opening an office on campus and currently sponsoring 12 students, 9 of which are already progressing through their security certification training assignments, delivered by Exclusive and its partners. All are expected to go on to full-time roles in the industry after completing their education. On the international front, Exclusive has partnered with Guardia in Europe to launch the first private cybersecurity academy in France where it will help in the development of course content as well as providing mentoring and internship opportunities for students. Exclusive has also recently become and advisory member of the Cyber Security Coalition in Belgium, a partnership between academia, public authorities and the private sector to share specialist expertise, knowledge and information in the fight against cybercrime. We speak with Jesper Trolle, CEO and Denis Ferrand-Ajchenbaum, Executive Board Member & SVP of Exclusive Networks to discuss the cybersecurity talent challenge and the company's involvement. Jesper is a vastly accomplished entrepreneurial channel business leader who joined Exclusive Networks as CEO in September 2020. Since starting out in his native Denmark building successful reseller and distribution businesses, Jesper has amassed almost three decades of executive experience and worked around the world at the head of multi-billion-dollar VAD organisations. He was President of the Americas for ECS Arrow prior to joining Exclusive and holds an MBA from the Henley Business School. Denis joined Exclusive with over 30 years of experience in enterprise IT including stints at value-added distributors, resellers, and vendors. As an Executive Board Member and SVP Global Business Development & Ecosystems, he is responsible for maximising the value and global penetration of existing vendor relationships while scouting and acquiring the next generation of Exclusive Networks' trusted digital infrastructure portfolio. Denis is also tasked with driving the strategy for our transactional partners – global system integrators (GSIs) and worldwide reseller network – and non-transactional partners – VCs, educational institutions and international and national bodies. In addition, Denis spearheads the strategy and growth of our innovative subscription platform, X-OD. #cybersecurity #exclusivenetworks #skills #cyberawareness

About VenkatVenkat Venkataramani is CEO and co-founder of Rockset. In his role, Venkat helps organizations build, grow and compete with data by making real-time analytics accessible to developers and data teams everywhere. Prior to founding Rockset in 2016, he was an Engineering Director for the Facebook infrastructure team that managed online data services for 1.5 billion users. These systems scaled 1000x during Venkat's eight years at Facebook, serving five billion queries per second at single-digit millisecond latency and five 9's of reliability. Venkat and his team also created and contributed to many noted data technologies and open-source projects, including Facebook's TAO distributed data store, RocksDB, Memcached, MySQL, MongoRocks, and others. Prior to Facebook, Venkat worked on tools to make the Oracle database easier to manage. He has a master's in computer science from the University of Wisconsin-Madison, and bachelor's in computer science from the National Institute of Technology, Tiruchirappalli.Links Referenced: Company website: https://rockset.com Company blog: https://rockset.com/blog TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is sponsored by our friends at Revelo. Revelo is the Spanish word of the day, and its spelled R-E-V-E-L-O. It means “I reveal.” Now, have you tried to hire an engineer lately? I assure you it is significantly harder than it sounds. One of the things that Revelo has recognized is something I've been talking about for a while, specifically that while talent is evenly distributed, opportunity is absolutely not. They're exposing a new talent pool to, basically, those of us without a presence in Latin America via their platform. It's the largest tech talent marketplace in Latin America with over a million engineers in their network, which includes—but isn't limited to—talent in Mexico, Costa Rica, Brazil, and Argentina. Now, not only do they wind up spreading all of their talent on English ability, as well as you know, their engineering skills, but they go significantly beyond that. Some of the folks on their platform are hands down the most talented engineers that I've ever spoken to. Let's also not forget that Latin America has high time zone overlap with what we have here in the United States, so you can hire full-time remote engineers who share most of the workday as your team. It's an end-to-end talent service, so you can find and hire engineers in Central and South America without having to worry about, frankly, the colossal pain of cross-border payroll and benefits and compliance because Revelo handles all of it. If you're hiring engineers, check out revelo.io/screaming to get 20% off your first three months. That's R-E-V-E-L-O dot I-O slash screaming.Corey: This episode is sponsored in part by LaunchDarkly. Take a look at what it takes to get your code into production. I'm going to just guess that it's awful because it's always awful. No one loves their deployment process. What if launching new features didn't require you to do a full-on code and possibly infrastructure deploy? What if you could test on a small subset of users and then roll it back immediately if results aren't what you expect? LaunchDarkly does exactly this. To learn more, visit launchdarkly.com and tell them Corey sent you, and watch for the wince.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. Today's promoted guest episode is one of those questions I really like to ask because it can often come across as incredibly, well, direct, which is one of the things I love doing. In this case, the question that I am asking is, when you look around at the list of colossal blunders that people make in the course of careers in technology and the rest, it's one of the most common is, “Oh, yeah. I don't like the way that this thing works, so I'm going to build my own database.” That is the siren call to engineers, and it is often the prelude to horrifying disasters. Today, my guest is Venkat Venkataramani, co-founder and CEO at Rockset. Venkat, thank you for joining me.Venkat: Thanks for having me, Corey. It's a pleasure to be here.Corey: So, it is easy for me to sit here in my beautiful ivory tower that is crumbling down around me and use my favorite slash the best database imaginable, which is TXT records shoved into Route 53. Now, there are certainly better databases than that for most use cases. Almost anything really, to be honest with you, because that is a terrifying pattern; good joke, terrible practice. What is Rockset as we look at the broad landscape of things that store data?Venkat: Rockset is a real-time analytics platform built for the cloud. Let me break that down a little bit, right? I think it's a very good question when you say does the world really need another database? Don't we have enough already? SQL databases, NoSQL databases, warehouses, and lake houses now.So, if you really break it down, the first digital transformation that happened in the '80s was when people actually retired pen and paper records and started using a relational database to actually manage their business records and what have you instead of ledgers and books and what have you. And that was the first digital transformation. That was—and Oracle called the rows in a table ‘records' for a reason. They're called records to this date. And then, you know, 20 years later, when all businesses were doing system of record and transactions and transactional databases, then analytics was born, right?This was, like, the whole reason why I wanted to make better data-driven business decisions, and BI was born, warehouses and data lakes started becoming more and more mainstream. And there was really a second category of database management systems because the first category it was very good at to be a system of record, but not really good at complex analytics that businesses are asking to be able to guide their decisions. Fast-forward 20 years from then, the nature of applications are changing. The world is going from batch to real-time, your data never stops coming, advent of Apache Kafka and technologies like that, 5G, IoTs, data is coming from all sorts of nooks and corners within an enterprise, and now customers in enterprises are acquiring the data in real-time at a scale that the world has never seen before.Now, how do you get analytics out of that? And then if you look at the database market—entire market—there are still only two large categories of databases: OLTP databases for transaction processing, and warehouses and data lakes for batch analytics. Now suddenly, you need the speed of OLTP at the scale of batch, right, in terms of, like, complexity of compute, complexity of storage. So, that is really why we thought the data management space needs that third leg, and we call it real-time analytics platform or real-time analytics processing. And this is where the data never stops coming; the queries never stopped coming.You need the speed and the scale, and it's about time we innovate and solve the problem well because in 2015, 2016, when I was researching for this, every company that was looking to solve build applications that were real-time applications was building a custom Rube Goldberg machine of sorts. And it was insanely complex, it was insanely expensive. Fast-forward now, you can build a real-time application in a matter of hours with the simplicity of the cloud using Rockset.Corey: There's a lot to be said that the way we used to do things after the first transformation and we got into the world of batch processing, where—in the days of punch cards, which was a bit before my time and I believe yours as well—where they would drop them off and then the next day, or two days, they would come back later after the run, they would get the results only to figure out syntax error because you put the wrong card first or something like that. And it was maddening. In time, that got better, but still, nightly runs have become a thing to the point where even now, by default, if you wind up looking at the typical timing of a default Linux install, for example, you see that in the middle of the night is when a bunch of things will rotate when various cleanup jobs get done, et cetera, et cetera. And that seemed like a weird direction to go in. One of the most famous Google April Fools Day jokes was when they put out their white paper on MapReduce.And then Yahoo fell for it hook, line, and sinker, built out Hadoop, and we've been stuck with this idea of performing these big query jobs on top of existing giant piles of data, where ideally, you can measure it with a wall clock; in practice, you often measure the calendar in some cases. And as the world continues to evolve, being able to do streaming processing and understand in real-time what is going on, is unlocking different approaches, at least by all accounts. Do you have an example you can give me of a problem that real-time analytics solves for a customer? Because I can sit here and talk all day about how things might theoretically work, but I have to get out of my Route 53-based ivory tower over here, what are customers seeing?Venkat: That's a great question. And I want one hundred percent agree. I think Google did build MapReduce, and I think it's a very nice continuation of what happened there and what is happening in the world now. And built MapReduce and they quickly realized re-indexing the whole world [laugh] every night, as the size of the internet is exploding is a bad idea. And you know how Google index is now? They do real-time indexing.That is how they index the wor—you know, web. And they look for the changes that are happening in the internet, and they only index the changes. And that is exactly the same principle behind—one of the core principles behind Rockset's real-time analytics platform. So, what is the customer story? So, let me give you one of my favorite ones.So, the world's number one or number two buy now, pay later company, they have hundreds of millions of users, they have 300,000-plus merchants, they operate in, like, maybe 100-plus countries, so many different payment methods, you can imagine the complexity. At any given point in time, some part of the product is broken, well, Apple Pay stopped working in Switzerland for this e-commerce merchant. Oh God, like, we got to first detect that. Forget even debugging and figuring out what happened and having an incident response team. So, what did they do as they scale the number of payments processed in the system across the world—it's, like, in millions; first, it was millions in the day, and there was millions in an hour—so like everybody else, they built a batch-based system.So, they would accumulate all these payment records, and every six hours—so initially, it was a day, and then afterwards, you know, you try to see how far I can push it, and they couldn't push it beyond every six hours. Every six hours, some batch job would come and process through all the payments that happened, have some statistical models to detect, hey, here are some of the things that you might want to double-click and follow up on. And as they were scaling, the batch job that they will kick off every six hours was starting to take more than six hours. So, you can see how the story goes. Now, fast-forward, they came to us and say—it's almost like Rockset has, like, a big red button that says, “Real-time this.”And then they kind of like, “Can you make this real-time? Because not only that we are losing millions of potential revenue dollars in a year because something stops working and we're not processing payments, and we don't find out about that up to, like, three hours later, five hours later, six hours later, but our merchants are also very unhappy. We are also not able to protect our customers' business because that is all we are about.” And so fast-forward, they use Rockset, and simply using SQL now they have all the metrics and statistical computation that they want to do, happens in real-time, that are accurate up to the second. All of their anomaly detectors run every minute and the anomaly detectors take, like, hundreds of milliseconds to run.And so, now they've cut down the business observability, I would say. It's not metrics and machine observability is actually the—you know, they have now business observability in real-time. And that not only actually saves them a lot of potential revenue loss from downtimes, that's also allowing them to build a better product and give their customers a better experience because they are now telling their merchants and their customers that something is not working in some part of your e-commerce footprint before even the customers notice that something is wrong. And that allows them to build a better product and a better customer experience than their competitors. So, this is a very real-world example of why companies and enterprises are moving from batch to real-time.Corey: With the stories that you, and frankly, a lot of other data analytics companies tend to fall back on all the time has been stories of the ones you're telling, where you're talking about the largest buy now, pay later lender, for example. These are companies operating at massive scale who have tremendous existing transaction volume, and they're built out already. That's great, but then I wanted to try to cut to the truth of some of these things. And when I visit your pricing page at Rockset, it doesn't have what I would expect if that were the only use case. And what that would be is, “Great. Call here to conta—open up a sales quote, and we'll talk to you et cetera, et cetera, et cetera.”And the answer then is, “Okay, I know it's going to have at least two commas in it, ideally, not three, but okay, great.” Instead, you have a free tier where it's, “Hey, we'll give you a pile of credits, here's some limits on our free account, et cetera, et cetera.” Great. That is awesome. So, it tells me that there is a use case here for folks who have not already, on some level, made a good show of starting the process of conquering the world.Rather, someone with an idea some evening at two in the morning can wind up diving in and getting started. What is the Twitter for Pets, in my garage, spare-time side project story for using something like Rockset? What problem will I have as I wind up building those things out, when I don't have any user traffic or data yet, but I want to, you know for once in my life, do the smart thing in advance rather than building an impressive tower of technical debt?Venkat: That is the first thing we built, by the way. When we finish our product, the first thing we built was self-service. The first thing we built was a free forever tier, which has certain limits because somebody has to pay the bill, right? And then we also have compute instances that are very, very affordable that cost you, like, approximately $1 a day. And so, we built all of that because real-time analytics is not a need that only, like, the large-scale companies have. And I'll give you a very, very simple example.Let's say you're building a game, it's a mobile game. You can use Amazon DynamoDB and use AWS Lambdas and have a serverless stack and, like, you're really only paying… you're kind of keeping your footprint very, very small, and you're able to build a very lively game and see if it gets [wider 00:12:16], and it's growing. And once it grows, you can have all the big company scaling problems. But in the early days, you're just getting started. Now, if you think about DynamoDB and Lambdas and whatnot, you can build almost every part of the game except probably the leaderboard.So, how do I build a leaderboard when thousands of people are playing and all of their individual gameplays and scores and everything is just another simple record in DynamoDB. It's all serverless. But DynamoDB doesn't give me a SQL SELECT *, order by score, limit 100, distinct by the same player. No, this is a analytical question, and it has to be updated in real-time, otherwise, you really don't have this thing where I just finished playing. I go to the leaderboard, and within a second or two, if it doesn't update, you kind of lose people along the way. So, this is one of actually a very popular use case, when the scale is much smaller, which is, like, Rockset augments NoSQL database like a Dynamo or a Mongo where you can continue to use that for—or even a Postgres or MySQL for that case where you can use that as your system of record and keep it small, but cover all of your compute-heavy and analytical parts of your application with Rockset.So, it's almost like kind of a CQRS pattern where you use your OLTP database as your system of record, you connect Rockset to it, and so—Rockset comes in with built-in connectors, by the way, so you don't have to write a single line of code for your inserts and updates and deletes in your transactional database to get reflected in Rockset within one to two seconds. And so now, all of a sudden you have a fully indexed, fast SQL replica of your transactional database that on which you can do all sorts of analytical queries and that's fully isolated with your transactional database. So, this is the pattern that I'm talking about. The mobile leaderboard is an example of that pattern where it comes in very handy. But you can imagine almost everybody building some kind of an application has certain parts of it that is very analytical in nature. And by augmenting your transactional database with Rockset, you can have your cake and eat it too.Corey: One of the challenges I think that at least I've run into when it comes to working with data—and let's be clear, I tend to deal with data in relatively small volumes, mostly. The stuff that's significantly large, like, oh, I don't know, AWS bills from large organizations, the format of those is mostly predefined. When I'm building something out, we're using, I don't know, DynamoDB or being dangerous with SQLite or whatnot, invariably I find that even at small-scale, I paint myself into a corner by data model design or how I wind up structuring access or the rest, and the thing that I'm doing that makes perfect sense today winds up being incredibly challenging to change later. And I still, in production and have a DynamoDB table that has the word ‘test' in its name because of course I do.It's not a great place to find yourself in some cases. And I'm curious as to what you've seen, as you've been building this out and watching customers, especially ones who already had significant datasets as they move to you. Do you have any guidance around how to avoid falling down that particular well?Venkat: I will say a lot of the complexity in this world is by solving the right problems using the wrong tool, or by solving the right problem on the wrong part of the stack. I'll unpack this a little bit, right? So, when your patterns change, your application is getting more complex, it is demanding more things, that doesn't necessarily mean the first part of the application you build—and let's say DynamoDB was your solution for that—was the wrong choice. That is the right choice, but now you're expanded the scope of your application and the demand that you have on your backend transactional database. And now you have to ask the question, now in the expanded scope, which ones are still more of the same category of things on why I chose Dynamo and which ones are actually not at all?And so, instead of going and abusing the GSIs and other really complex and expensive indexing options and whatnot, that Dynamo, you know, has built, and has all sorts of limitations, instead of that, what do I really need and what is the best tool for the job, right? What is the best system for that? And how do I augment? And how do I manage these things? And this goes to the first thing I said, which is, like, this tremendous complexity when you start to build a Rube Goldberg machine of sorts.Okay, now, I'm going to start making changes to Dynamo. Oh, God, like, how do I pick up all of those things and not miss a single record? Now, replicate that to another second system that is going to be search-centric or reporting-centric, and do I have to rethink this once in a while? Do I have to build and manage these pipelines? And suddenly, instead of going from one system to two system, you actually end up going from one system to, like, four different things that with all the pipes and tubes going into the middle.And so, this is what we really observed. And so, when you come in to Rockset and you point us at your DynamoDB table, you don't write a single line of code, and Rockset will automatically scan your Dynamo tables, move that into Rockset, and in real-time, your changes, insert, updates, deletes to Dynamo will be reflected in Rockset. And this is all using Dynamo Streams API, Dynamo Scan API, and whatnot, behind the scenes. And this just gives you an example of if you use the right tool for the job here, when suddenly your application is demanding analytical queries on Dynamo, and you do the right research and find the right tool, your complexity doesn't explode at all, and you can still, again, continue to use Dynamo for what it is very, very good at while augmenting that with a system built for analytics with full-featured SQL and other capabilities that I can talk about, for the parts of your application for which Dynamo is not a good fit. And so, if you use the right tool for the job, you should be in very good place.The other thing is part about this wrong part of the stack. I'll give a very kind of naive example, and then maybe you can extrapolate that to, like, other patterns on how people could—you know, accidental complexities the worst. So, let's just say you need to implement access control on your data. Let's say the best place to implement access control is at the database level, just happens to be that is the right thing. But this database that I picked, doesn't really have role-based access control or what have you, it doesn't really give me all the security features to be able to protect the data the way I want it.So, then what I'm going to do is, I'm going to go look at all the places that is actually having business logic and querying the database and I'm going to put a whole bunch of permission management and roles and privileges, and you can just see how that will be so error-prone, so hard to maintain, and it will be impossible to scale. And this is what is the worst form of accidental complexity because if you had just looked at it that one week or two weeks, how do I get something out, or the database I picked doesn't have it, and then the two weeks, you feel like you made some progress by, kind of like, putting some duct tape if conditions on all the access paths. But now, [laugh] you've just painted yourself into a really, really bad corner.And so, this is another variation of the same problem where you end up solving the right problems in the wrong part of the stack, and that just introduces tremendous amount of accidental complexity. And so, I think yeah, both of these are the common pitfalls that I think people make. I think it's easy to avoid them. I would say there's so much research, there's so much content, and if you know how to search for these things, they're available in the internet. It's a beautiful place. [laugh]. But I guess you have to know how to search for these things. But in my experience, these are the two common pitfalls a lot of people fall into and paint themselves in a corner.Corey: Couchbase Capella Database-as-a-Service is flexible, full-featured and fully managed with built in access via key-value, SQL, and full-text search. Flexible JSON documents aligned to your applications and workloads. Build faster with blazing fast in-memory performance and automated replication and scaling while reducing cost. Capella has the best price performance of any fully managed document database. Visit couchbase.com/screaminginthecloud to try Capella today for free and be up and running in three minutes with no credit card required. Couchbase Capella: make your data sing.Corey: A question I have, though, that is an extension is this—and I want to give some flavor to it—but why is there a market for real-time analytics? And what I mean by that is, early on in my tenure of fixing horrifying AWS bills, I saw a giant pile of money being hurled over at effectively a MapReduce cluster for Elastic MapReduce. Great. Okay, well, stream-processing is kind of a thing; what about migrating to that? Well, that was a complete non-starter because it wasn't just the job running on those things; there were downstream jobs, and with their own downstream jobs. There were thousands of business processes tied to that thing.And similarly, the idea of real-time analytics, we don't have any use for that because of, oh I don't know, I only wind up pulling these reports on a once-a-week basis, and that's fine, so what do I need that updated for in real-time if I'm looking at them once a week? In practice, the answer is often something aligned with the, “Well, yeah, but you had a real-time updating dashboard, you would find that more useful than those reports.” But people's expectations and business processes have shaped themselves around constraints that now can be removed, but how do you get them to see that? How do you get them to buy in on that? And then how do you untangle that enormous pile of previous constraint into something that leverages the technology that's now available for a brighter future?Venkat: I think [unintelligible 00:21:40] a really good question, who are the people moving to real-time analytics? What do they see? And why can they do it with other tech? Like, you know, as you say… EMR, you know, it's just MapReduce; can't I just run it in sort of every twenty-four hours, every six hours, every hour? How about every five minutes? It doesn't work that way.Corey: How about I spin up a whole bunch of parallel clusters on different timescales so I constantly—Venkat: [laugh].Corey: Have a new report coming in. It's real-time, except—Venkat: Exactly.Corey: You're constantly putting out new ones, but they're just six hours delayed every time.Venkat: Exactly. So, you don't really want to do this. And so, let me unpack it one at a time, right? I mean, we talked about a very good example of a business team which is building business observability at the buy now, pay later company. That's a very clear value-prop on why they want to go from batch to real-time because it saves their company tremendous losses—potential losses—and also allows them to build a better product.So, it could be a marketing operations team looking to get more real-time observability to see what campaigns are working well today and how do I double down and make sure my ad budget for the day is put to good use? I don't have to mention security operations, you know, needing real-time. Don't tell me I got owned three days ago. Tell me—[laugh] somebody is, you know, breaking glass and might be, you know, entering into your house right now. And tell me then and not three days later, you know—Corey: “Yeah, what alert system do you have for security intrusion?” “So, I read the front page of_The New York Times_ every morning and waiting to see my company's name.” Yeah, there probably are better ways to reduce that cycle time.Venkat: Exactly, right. And so, that is really the need, right? Like, I think more and more business teams are saying, “I need operational intelligence and not business intelligence.” Don't make me play Monday morning quarterback.My favorite analogy is it's the middle of the third quarter. I'm six points down. A couple of people, star players in my team and my opponent's team are injured, but there's some in offense, some in defense. What plays do I do and how do I play the game slightly differently to change the outcome of the game and win this game as opposed to losing by six points. So, that I think is kind of really what is driving businesses.You know, I want to be more agile, I want to be more nimble, and take, kind of, being data-driven decision-making to another level. So that, I think, is the real force in play. So, now the real question is, why can they do it already? Because if you go ask a hundred people, “Do you want fast analytics on real-time data or slow analytics on stale data?” How many people are going to say give me slow and stale? Zero, right? Exactly zero people.So, but then why hasn't it happened yet? I think it goes back to the world only has seen two kinds of databases: Transaction processing systems, built for system of record, don't lose my data kind of systems; and then batch analytics, you know, all these warehouses and data lakes. And so, in real-time analytics use cases, the data never stops coming, so you have to actually need a system that is running 24/7. And then what happens is, as soon as you build a real-time dashboard, like this example that you gave, which is, like, I just want all of these dashboards to automatically update all the time, immediately people respond, says, “But I'm not going to be like Clockwork Orange, you know, toothpicks in my eyelids and be staring at this 24/7. Can you do something to alert or detect some anomalies and tap on my shoulder when something off is going on?”And so, now what happens is somebody's actually—a program more than a person—is actually actively monitoring all of these metrics and graphs and doing some analysis, and only bringing this to your attention when you really need to because something is off, right? So, then suddenly what happens is you went from, accumulate all the data and run a batch report to [unintelligible 00:25:16], like, the data never stops coming, the queries never stopped coming, I never stop asking questions; it's just a programmatic way of asking those things. And at that point, you have a data app. This is not a analytics dashboard report anymore. You have a full-fledged application.In fact, that application is harder to build and scale than any application you've ever built before [laugh] because in those situations, again, you don't have this torrent of data coming in all the time and complex analytical questions you're asking on the data 24/7, you know? And so, that I think is really why real-time analytics platform has to be built as almost a third leg. So, this is what we call data apps, which is when your data never stops coming and your queries never stop coming. So, this is really, I think, what is pushing all the expensive EMR clusters or misusing your warehouse, misusing your data lakes. At the end of the day, is what is I think blowing up your Snowflake bills, is what blowing up your warehouse builds because you somehow accidentally use the wrong tool for the job [laugh] going back to the one that we just talked about.You accidentally say, “Oh, God, like, I just need some real-time.” With enough thrust, pigs can fly. Is that a good idea? Probably not, right? And so, I don't want to be building a data app on my warehouse just because I can. You should probably use the best tool for the job, and really use something that was built ground up for it.And I'll give you one technical insight about how real-time analytics platforms are different than warehouses.Corey: Please. I'm here for this.Venkat: Yes. So really, if you think about warehouses and data lakes, I call them storage-optimized systems. I've been building databases all my life, so if I have to really build a database that is for batch analytics, you just break down all of your expenses in terms of let's say, compute and storage. What I'm burning 24/7 is storage. Compute comes and goes when I'm doing a batch data load, or I'm running—an analyst who logs in and tries to run some queries.But what I'm actually burning 24/7 is storage, so I want to compress the heck out of the data, and I want to store it in very cheap media. I want to store it—and I want to make the storage as cheap as possible, so I want to optimize the heck out of the storage use. And I want to make computation on that possible but not efficient. I can shuffle things around and make the analysis possible, but I'm not trying to be compute-efficient. And we just talked about how, as soon as you get into real-time analytics, you very quickly get into the data app business. You're not building a real-time dashboard anymore, you're actually building your application.So, as soon as you get into that, what happens is you start burning both storage and compute 24/7. And we all know, relatively, [laugh] compute and RAM is about a hundred to a thousand times more expensive than storage in the grand scheme of things. And so, if you actually go and look at your Snowflake bill, if you go look at your warehouse bill—BigQuery, no matter what—I bet the computational part of it is about 90 to 95% of the bill and not the storage. And then, if you again, break down, okay, who's spending all the compute, and you'll very quickly narrow down all these real-time-y and data app-y use cases where you can never turn off the compute on your warehouse or your BigQuery, and those are the ones that are blowing up your costs and complexity. And on the Rockset side, we are actually not storage-optimized; we're compute-optimized.So, we index all the data as it comes in. And so, the storage actually goes slightly higher because the, you know, we stored the data and also the indexes of those data automatically, but we usually fold the computational cost to a quarter of what a typical warehouse needs. So, the TCO for our customers goes down by two to four folds, you know? It goes down by half or even to a quarter of what they used to spend. Even though their storage cost goes up in net, that is a very, very small fraction of their spend.And so really, I think, good real-time analytics platforms are all compute-optimized and not storage-optimized, and that is what allows them to be a lot more efficient at being the backend for these data applications.Corey: As someone who spends a lot of time staring into the depths of AWS bills, I think that people also lose sight of the reality that it doesn't matter what you're spending on AWS; it invariably pales in comparison to what you're spending on people to work with these things. The reason to go to cloud is not because it is the cheapest possible way to get computers to do things; it's because it's a capability story. It's about unlocking capacity and capabilities you do not have otherwise. And that dramatically increases your feature velocity and it lets you to achieve things faster, sooner, with better results. And unlocking a capability is always going to be more interesting to a company than saving money on it. When a company cares first, last, and always about just save money, make the bill lower, the end, it's usually a company in decline. Or alternately, something very strange is going on over there.Venkat: I agree with that. One of our favorite customers told us that Rockset took their six-month roadmap and shrunk it to a single afternoon. And their supply chain SaaS backend for heavy construction, 80% of concrete that are being delivered and tracked in North America follows through their platform, and Rockset powers all of their real-time analytics and reporting. And before Rockset, what did they have? They had built a beautiful serverless stack using DynamoDB, even have AWS Lambdas and what-have-you.And why did they have to do all serverless? Because the entire team was two people. [laugh]. And maybe a third person once in a while, they'll get, so 2.5. Brilliant people, like, you know, really pioneers of building an entire data stack on AWS in a serverless fashion; no pipes, no ETL.And then they were like, oh God, finally, I have to do something because my business demands and my customers are demanding real-time reporting on all of these concrete trucks and aggregate trucks delivering stuff. And real-time reporting is the name of the game for them, and so how do I power this? So, I have to build a whole bunch of pipes, deliver it to, like, some Elasticsearch or some kind of like a cluster that I had to keep up in real-time. And this will take me a couple of months, that will take me a couple of months. They came into Rockset on a Thursday, built their MVP over the weekend, and they had the first working version of their product the following Tuesday.So—and then, you know, there was no turning back at that point, not a single line of code was written. You know, you just go and create an account with Rockset, point us at your Dynamo, and then off you go. You know, you can use start using SQL and go start building your real-time application. So again, I think the tremendous value, I think a lot of customers like us, and a lot of customers love us. And if you really ask them what is one thing about Rockset that you really like, I think it'll come back to the same thing, which is, you gave me a lot of time back.What I thought would take six months is now a week. What I thought would be three weeks, we got that in a day. And that allows me to focus on my business. I want to spend more time with my stakeholders, you know, my CPO, my sales teams, and see what they need to grow our business and succeed, and not build yet another data pipeline and have data pipelines and other things coming out of my nose, you know? So, at the end of the day, the simplicity aspects of it is very, very important for real-time analytics because, you know, we can't really realize our vision for real-time being the new default in every enterprise for whenever analytics concern without making it very, very simple and accessible to everybody.And so, that continues to be one of our core thing. And I think you're absolutely right when you say the biggest expense is actually the people and the time and the energy they have to spend. And not having to stand up a huge data ops team that is building and managing all of these things, is probably the number one reason why customers really, really like working with our product.Corey: I want to thank you for taking so much time to talk me through what you're working on these days. If people want to learn more, where's the best place to find you?Venkat: We are Rockset, I'll spell it out for your listeners ROCKSET—rock set—rockset.com. You can go there, you can start a free trial. There is a blog, rockset.com/blog has a prolific blog that is very active. We have all sorts of stories there, and you know engineers talking about how they implemented certain things, to customer case studies.So, if you're really interested in this space, that's one on space to follow and watch. If you're interested in giving this a spin, you know, you can go to rockset.com and start a free trial. If you want to talk to someone, there is, like, a ‘Request Demo' button there; you click it and one of our solutions people or somebody that is more familiar with Rockset would get in touch with you and you can have a conversation with them.Corey: Excellent. And links to that will of course go in the [show notes 00:34:20]. Thank you so much for your time today. I appreciate it.Venkat: Thanks, Corey. It was great.Corey: Venkat Venkataramani, co-founder and CEO at Rockset. I'm Cloud Economist Corey Quinn and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice along with an insulting crappy comment that I will immediately see show up on my real-time dashboard.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

The genetic changes that occur within the protein-coding gene NOTCH1 have not yet been fully studied or classified. Despite a lack in research, previous studies have suggested that NOTCH1 may be a potential target for novel cancer therapies, particularly against triple-negative breast cancer (TNBC). NOTCH1 variants in TNBC tend to cluster in the PEST region and have previously been linked to gamma secretase inhibitor (GSI) sensitivity and chemotherapy resistance. “Furthermore, TNBC patients with increased Notch1 expression have demonstrated increased aggressive phenotypes and lower median overall survival [25].” Since TNBC is well-known for a lack of actionable therapeutic targets, aggressive phenotypes and poor prognoses, there is an important need to develop new targeted therapies—as well as predictive markers for those therapies. Researchers from The Johns Hopkins University School of Medicine, Vanderbilt University Medical Center and The Vanderbilt-Ingram Cancer Center experimented in vitro with NOTCH1 variants and their ability to predict TNBC responsiveness to GSIs and standard of care chemotherapies. Their trending research paper was published by Oncotarget on February 16, 2022, and entitled, “NOTCH1 PEST domain variants are responsive to standard of care treatments despite distinct transformative properties in a breast cancer model.” Full blog - https://www.oncotarget.org/2022/02/24/trending-with-impact-are-notch1-variants-prognostic-in-breast-cancer/ DOI - https://doi.org/10.18632/oncotarget.28200 Correspondence to - Ben Ho Park - ben.h.park@vumc.org Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.28200 Keywords - NOTCH1, TNBC, breast cancer, PEST About Oncotarget Oncotarget is a peer-reviewed, open access biomedical journal covering research on all aspects of oncology. To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us: SoundCloud - https://soundcloud.com/oncotarget Facebook - https://www.facebook.com/Oncotarget/ Twitter - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/OncotargetYouTube LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Oncotarget is published by Impact Journals, LLC: https://www.ImpactJournals.com Media Contact MEDIA@IMPACTJOURNALS.COM 18009220957

(2) CLARIFICATION UPDATES: from Brian Burton on Facebook, the cover art matte mario that went for "40k is an imp with a very high grade sixth print manual" "Unless the labels are wrong and they are correct inside" "that's a huge unaddressed fuck up so pop has two 7.0" "if they are corrected they will need to find equivalent graded correct manuals so most likely they won't remain 7.0 pieces" and from Kevin aka frogfucions85 on IG, "Wanted to clarify something that you discussed early in the episode about inserts and GSIs. There are two types of inserts in CiBs: Standard inserts: these are anything in the box that is not specific to that game. This could be the Nintendo branded cart sleeve, nintendo power card, etc. that is in more than one game. The others are inserts that are specific to the game, a GSI (“Game-Specific-Insert”). This could be the Zelda map, a strategy guide offer for that game, etc. The Zelda pink slip is a GSI. It was only in Zelda, and specifically was only in a very limited amount of second print boxes. It is an imp in anything else. One way to check if something is a GSI is to look for a code on the insert. Check the picture of the Zelda pink slip, the bottom right corner says “NES-ZL-US”. The 2 letter code is the game, in this case ZL is Zelda." in this Top of 5th Inning Episode 4, hopper shares his opinions to build Powerful Relationships own True First Prints build Bulletproof POP Defense, etc. image owned by Heritage Auctions, Facebook and Instgram

East Asia's evolving regional trade architecture Topics of discussion (held on 10 NOVEMBER 2021) Assessment of regional trade arrangements (CPTPP and RCEP) and the changing nature of trade in East Asia. Competing trade strategies of major regional powers and how Taiwan and South Korea find their place. Impact of regional trade agreements on the evolution of the global trade architecture. Speakers: Deborah Elms, Founder and Executive Director, Asian Trade Centre Taeho Bark, President, Lee & Ko Global Commerce Institute, Emeritus Professor, GSIS, Seoul National University, and former Trade Minister, Republic of Korea Roy Chun Lee, Associate Research Fellow and Senior Deputy Executive Director, Taiwan WTO and RTA Center, Chung Hua Institution for Economic Research Moderator: Françoise Nicolas, Director, Senior Economist, Center for Asian Studies, Ifri

Global Systems Integrator (GSI) partners are the giants of your partner portfolio. Although it can take a big effort to get one of these partnerships off the ground,  the results can be a game changer for your company. Check out this episode to hear how to get started with engaging GSIs. Join the discussion on the Partner Strategy Network LinkedIn Group

Melanjutkan cerita cinta Deasy dengan Korea. Kali ini Deasy sharing tentang pengalaman sekolah post graduate di GSIS, Ewha University, Seoul Korea. Jauh dari suami, jauh dari istri, dan bertemu dengan mahasiswi dari bermacam negara. Udah kayak United Nation rasanya. Apa aja yang terjadi selama 6 bulan, banyak banget. Semuanya diceritain di sini.

Today's episode features Mark Sullivan, former director of the United States Secret Service and until 2017, was a principal at GSIS, a global security consulting and business advisory firm. Rick and Mark discuss the pressing national and international security issues of the day, including increased cyber threats, home grown terrorists groups, as well as the importance of pandemic planning and creating a continuity of business plan post-COVID.

Welcome everyone, to the 57th episode of the Blind Tech Guys. As always, it is awesome to have you all with us, and we appreciate you tuning in each and every week. What's new in the news Google Is Prepping Messages For Web With Google Fi Features Data Collection – The ORBIT (Object Recognition for Blind Image Training) Dataset Interesting Early Pixel 5 Issues You can finally mute conversations forever on WhatsApp Main Part Of Today's PodcastWe discussed and demonstrated the procedure for flashing the public release, or an AOSP build of ANdroid onto a Pixel phone. Please note that we are not responsible for anything which may happen to your device as a result of following our instructions, or the below links. Follow these instructions to prepare your device, computer, and to learn how to flash. Use this link to flash your Pixel back to the latest release. Install custom ROMs and GSIs on Samsung Galaxy devices without TWRP How To Install Custom ROM on Android App of the WeekThe vOICe is an app which takes advantage of sensory substitution to provide us with a great deal of independence, and we encourage you to take the time to learn and work with it. The app's core purpose is to convert images into soundscapes, however it has many other useful features as well. You can access the tutorial, learn about the developer, and find other platforms where you can use the vOICe. Visit the SeeingWithSound website to learn more about the vOICe. Download the voICe from Google Play Use the vOICe from a web browser from an iPhone or most other devices To conclude this week's podcast, we had several emails which we went through and hopefully provided the answers you were seeking. The team would like to thank everyone that submits feedback and queries each and every week.In Conclusion To get in touch, send us an email to blindtechguyspodcast@gmail.com In order to support the show, please share this podcast, and subscribe using your favourite podcatcher. Links can be found at the Blind Tech Guys website. We can also be found on Facebook, Twitter, and YouTube Support the show (https://www.pod.fan/blind-tech-guys)★ Support this podcast ★

Jeremy chats with Rick Houlihan about the use cases for NoSQL, why single table designs are so powerful, ways to model relational data with GSIs, and so much more in PART 1 of this two-part conversation.

I am currently in the software consulting business supporting Microsoft's Power Platform. As you may know, I write about it a lot, but for this post I wanted to veer off a little bit from my typical subject matter. Instead I wanted to talk about customers, and their experiences with companies that provide services. Epiphany I was talking to one of our customer-facing people a few months ago, who was working on one of our larger customer projects. I asked him how things were going. He started to go into the customer's asks, and the hours that had been utilized to fulfill those asks. I interrupted and said, "No, I mean, is the customer happy?" He hesitated, then replied, "I think so". My brain started churning, "you think so"? Do we know? I came to the realization that I always know when a customer is not happy, because they don't hesitate to let me know. But they never let me know that they are actually happy... unless I ask them. "Fine" Occasionally, my wife will ask me how something like her new hair style looks. My reflexive response is "Fine", which leads to her stomping off and mumbling, "I know what fine means". Apparently, I do not know what "Fine" means. It seems that it actually means that I am indifferent, which was not her desired response. Whenever I am on the phone with a current customer, I always ask how things are going, and they frequently say, "Fine". Until recently, I took that as a satisfactory response. But actually "Satisfactory", is not a very satisfactory response to that question. "Fine" does not equal "I love you guys!" I think it means they are indifferent to the job you are doing for them, neither dissatisfied enough to get rid of you, nor thrilled to be working with you either. It is a "Neutral" response. Neutral When you put your car in neutral and rev your engine, you go neither forward nor backward. Neutral kinda sucks. While you can know for sure if a customer is not happy with you, you can only intuit whether they are thrilled. But what if your intuition is wrong, and they are only "Fine" with you. Are they going to tell their colleagues about you? Are they going to go to bat for you to stay on the project as it grows or evolves? Or are they going to say, "Eh, they're fine"? Yes, neutral sucks. So how do you get out of neutral? You can Ask Years ago we were brought in by another partner in a P2P scenario to assist with Dynamics 365. I remember some call with me and the partner where he was wondering if the customer was satisfied with things. I said, "Well, we can give them a call and ask?". He replied, "Hell no, don't ever do that!". I said, "Why Not?", and he said, "What if they're not happy?". Obviously I love to hear that my customers are very happy with us, but the value I receive from that is a smile. The real value is received when they are not happy. I don't like hearing it, but hiding from it is worse. At least knowing, I can take action. If the first time I hear that they are unhappy, is when they take the step of reaching out to me, it could be too late. NPS The Net Promoter Score idea was brilliant. It sums up the health of your relationship with one single question: "How likely is it that you would recommend our company/product/service to a friend or colleague?". Respondents are asked to rate that question on a scale of 0-10, 10 being most likely. It is simple, and easy for them to provide, unlike a full Customer Satisfaction Survey. From the web:"Those who respond with a score of 9 to 10 are called Promoters, and are considered likely to exhibit value-creating behaviors, such as buying more, remaining customers for longer, and making more positive referrals to other potential customers. Those who respond with a score of 0 to 6 are labeled Detractors, and they are believed to be less likely to exhibit the value-creating behaviors. Responses of 7 and 8 are labeled Passives, and their behavior falls between Promoters and Detractors. The Net Promoter Score is calculated by subtracting the percentage of customers who are Detractors from the percentage of customers who are Promoters. For purposes of calculating a Net Promoter Score, Passives count toward the total number of respondents, thus decreasing the percentage of detractors and promoters and pushing the net score toward 0." Typical Use I think the most common use for NPS is sending it to customers after they received your product or service, and generating a Score from the aggregate results. I am less concerned about the aggregate score, I am more interested in the individual result. I am also not wanting to wait until the end of the engagement to get it. We instituted a program where we ask regularly, sometimes even weekly, during an engagement. It can be automated. Basically I want to take the temperature of the relationship continuously. Once a week, I may ask a customer for a single button press, so it is not a hassle for them to give it. This is part of the beauty of a single question. Hiring How has this impacted our hiring practices? This seems like a left field topic, but actually it is not. We share the customer score with the team member in charge of the project. What do I consider an appropriate response from a team member for a low score? Well, it does not include things like, "It's not my fault", or "The customer is an asshole", or "It's okay, I'm billing the crap out of them". No, I want people who are on the verge of tears when they hear their performance was scored low by a customer. Their tendencies are fairly easy to spot in an interview. Long Game You can no longer build a sustainable business on the "Burnt Bridge" model. Cloud has moved us all into having to think longer term. The old days of trying to get as much revenue as possible, as quickly as possible, are pretty much gone. The new game is revenue generation over time. How much time? It may take years to generate the same revenue from a customer that it took months to obtain in the past. Needless to say, if you are not keeping them happy, you may not been engaged with them for very long. Your best customers are your existing customers, and the best of those are the ones that are happy with you. So you need to be asking, "Are you happy?". Not being asked? If you are a customer, and your partner has not implemented a similar program of regularly asking if you are happy, you are not out-of-luck. You can probably get a similar result by pro-actively telling them on a regular basis. It might also be a good check for yourself. You can set a reminder in your calendar every week to send an email and tell them, "On a scale of zero to ten, my happiness level with you today is...". Not only will this usually snap the partner into focus, but it will be a reminder to you of whether you actually are happy with them, or not. Big Partners I would not expect any of the Global Systems Integrators (GSI) to take this path, nor would they likely respond to your initiated "Happiness Notifications". Frankly, GSIs mostly suck when it comes to customer satisfaction. They seem to operate more on a "How hard can we screw you, before you sue us" model. There are plenty of examples in the news today, so I won't go into that any further. Faith Moving to a model, for which the most critical metric is customer happiness, even over revenue, is not easy. If actually requires you to take a leap of faith. Faith that if your customers are really happy with you, that will result in more revenue over time. I also am not blind to the fact that some customers cannot be made happy, they simply will not allow it. Since my goal is revenue over a long period of time, when I encounter these customers, and I know they will not allow themselves to be happy, I will refer them to another partner... maybe a GSI:). Since I can't reach my goals with that customer, I am happy to let them do the battling they crave with someone else. What are you doing to protect your future revenue? Let me know in the comments.  

Simon guides you through lots of new features, services and capabilities that you can take advantage of. Including the new AWS Backup service, more powerful GPU capabilities, new SLAs and much, much more! Chapters: Service Level Agreements 0:17 Storage 0:57 Media Services 5:08 Developer Tools 6:17 Analytics 9:54 AI/ML 12:07 Database 14:47 Networking & Content Delivery 17:32 Compute 19:02 Solutions 21:57 Business Applications 23:38 AWS Cost Management 25:07 Migration & Transfer 25:39 Application Integration 26:07 Management & Governance 26:32 End User Computing 29:22 Links: Topic || Service Level Agreements 0:17 Amazon Kinesis Data Firehose Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-kinesis-data-firehose-announces-99-9-service-level-agreement/ Amazon Kinesis Data Streams Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-kinesis-data-streams-announces-99-9-service-level-agreement/ Amazon Kinesis Video Streams Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-kinesis-video-streams-announces-99-9-service-level-agreement/ Amazon EKS Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/-amazon-eks-announces-99-9--service-level-agreement-/ Amazon ECR Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-ecr-announces-99-9--service-level-agreement/ Amazon Cognito Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-cognito-announces-99-9-service-level-agreement/ AWS Step Functions Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-step-functions-announces-service-level-agreement/ AWS Secrets Manager Announces Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/AWS-Secrets-Manager-announces-service-level-agreement/ Amazon MQ Announces 99.9% Service Level Agreement | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-mq-announces-service-level-agreement/ Topic || Storage 0:57 Introducing AWS Backup | https://aws.amazon.com/about-aws/whats-new/2019/01/introducing-aws-backup/ Introducing Amazon Elastic File System Integration with AWS Backup | https://aws.amazon.com/about-aws/whats-new/2019/01/introducing-amazon-elastic-file-system-integration-with-aws-backup/ AWS Storage Gateway Integrates with AWS Backup - Amazon Web Services | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-storage-gateway-integrates-with-aws-backup-to-protect-volume/ AWS Backup Integrates with Amazon DynamoDB for Centralized and Automated Backup Management | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-backup-integrates-with-amazon-DynamoDB-for-centralized-and-automated-backup-management/ Amazon EBS Integrates with AWS Backup to Protect Your Volumes | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-ebs-integrates-with-aws-backup-to-protect-your-volumes/ AWS Storage Gateway Volume Detach & Attach - Amazon Web Services | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-storage-gateway-introduces-volume-detach-and-attach-feature-/ AWS Storage Gateway - Tape Gateway Performance | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-storage-gateway-announces-increased-throughput-performance-for-tape-gateway/ Amazon FSx for Lustre Offers New Options and Faster Speeds for Working with S3 Data | https://aws.amazon.com/about-aws/whats-new/2019/02/amazon-fsx-for-lustre-offers-new-options-and-faster-speeds/ Topic || Media Services 5:08 AWS Elemental MediaConvert Adds IMF Input and Enhances Caption Burn-In Support | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-elemental-mediaconvert-adds-imf-input-enhances-caption-burn-in-support/ AWS Elemental MediaLive Adds Support for AWS CloudTrail | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-elemental-medialive-adds-support-for-aws-cloudtrail/ AWS Elemental MediaLive Now Supports Resource Tagging | https://aws.amazon.com/about-aws/whats-new/2019/02/aws-elemental-medialive-now-supports-resource-tagging/ AWS Elemental MediaLive Adds I-Frame-Only HLS Manifests and JPEG Outputs | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-elemental-medialive-add-i-frame-only-hls-manifest-and-jpeg-outputs/ Topic || Developer Tools 6:17 Amazon Corretto is Now Generally Available | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-corretto-is-now-generally-available/ AWS CodePipeline Now Supports Deploying to Amazon S3 | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-codepipeline-now-supports-deploying-to-amazon-s3/ AWS Cloud9 Supports AWS CloudTrail Logging | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-cloud9-supports-aws-cloudtrail-logging/ AWS CodeBuild Now Supports Accessing Images from Private Docker Registry | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-codebuild-now-supports-accessing-images-from-private-docker-registry/ Develop and Test AWS Step Functions Workflows Locally | https://aws.amazon.com/about-aws/whats-new/2019/02/develop-and-test-aws-step-functions-workflows-locally/ AWS X-Ray SDK for .NET Core is Now Generally Available | https://aws.amazon.com/about-aws/whats-new/2019/02/aws-x-ray-net-core-sdk-generally-available/ Topic || Analytics 9:54 Amazon Elasticsearch Service doubles maximum cluster capacity with 200 node cluster support | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-elasticsearch-service-doubles-maximum-cluster-capacity-with-200-node-cluster-support/ Amazon Elasticsearch Service announces support for Elasticsearch 6.4 | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-elasticsearch-service-announces-support-for-elasticsearch-6-4/ Amazon Elasticsearch Service now supports three Availability Zone deployments | https://aws.amazon.com/about-aws/whats-new/2019/02/amazon-elasticsearch-service-now-supports-three-availability-zone-deployments/ Now bring your own KDC and enable Kerberos authentication in Amazon EMR | https://aws.amazon.com/about-aws/whats-new/2019/01/now_bring_your_own_kdc_and_enable_kerberos_authentication_in_amazon_emr/ Source code for the AWS Glue Data Catalog client for Apache Hive Metastore is now available for download | https://aws.amazon.com/about-aws/whats-new/2019/02/source-code-for-the-aws-glue-data-catalog-client-for-apache-hive-metatore-is-now-available-for-download/ Topic || AI/ML 12:07 Amazon Comprehend is now Integrated with AWS CloudTrail | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-comprehend-is-now-integrated-with-aws-cloudtrail/ Object Bounding Boxes and More Accurate Object and Scene Detection are now Available for Amazon Rekognition Video | https://aws.amazon.com/about-aws/whats-new/2019/01/object-bounding-boxes-and-more-accurate-object-and-scene-detection-are-now-available-for-amazon-rekognition-video/ Amazon Elastic Inference Now Supports TensorFlow 1.12 with a New Python API | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-elastic-inference-supports-tensorflow-1-12-with-a-python-api/ New in AWS Deep Learning AMIs: Updated Elastic Inference for TensorFlow, TensorBoard 1.12.1, and MMS 1.0.1 | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-deep-learning-amis-now-support-elastic-inference-for-tensorflow-tensorboard1-12-1-mms101/ Amazon SageMaker Batch Transform Now Supports TFRecord Format | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-sagemaker-batch-transform-now-supports-tfrecord-format/ Amazon Transcribe Now Supports US Spanish Speech-to-Text in Real Time | https://aws.amazon.com/about-aws/whats-new/2019/02/amazon-transcribe-now-supports-us-spanish-speech-to-text-in-real-time/ Topic || Database 14:47 Amazon Redshift now runs ANALYZE automatically | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-redshift-auto-analyze/ Introducing Python Shell Jobs in AWS Glue | https://aws.amazon.com/about-aws/whats-new/2019/01/introducing-python-shell-jobs-in-aws-glue/ Amazon RDS for PostgreSQL Now Supports T3 Instance Types | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-rds-postgresql-now-supports-t3-instance-types/ Amazon RDS for Oracle Now Supports T3 Instance Types | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-rds-for-oracle-now-supports-t3-instance-types/ Amazon RDS for Oracle Now Supports SQLT Diagnostics Tool Version 12.2.180725 | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-rds-oracle-now-supports-sqlt-diagnostics-tool-122180725/ Amazon RDS for Oracle Now Supports January 2019 Oracle Patch Set Updates (PSU) and Release Updates (RU) | https://aws.amazon.com/about-aws/whats-new/2019/02/amazon-rds-oracle-supports-jan-2019-oracle-psu/ Amazon DynamoDB Local Adds Support for Transactional APIs, On-Demand Capacity Mode, and 20 GSIs | https://aws.amazon.com/about-aws/whats-new/2019/02/amazon-dynamodb-local-adds-support-for-transactional-apis-on-demand-capacity-mode-and-20-gsis/ Topic || Networking & Content Delivery 17:32 Network Load Balancer Now Supports TLS Termination | https://aws.amazon.com/about-aws/whats-new/2019/01/network-load-balancer-now-supports-tls-termination/ Amazon CloudFront announces six new Edge locations across United States and France | https://aws.amazon.com/about-aws/whats-new/2019/02/cloudfront-feb2019-6locations/ AWS Site-to-Site VPN Now Supports IKEv2 | https://aws.amazon.com/about-aws/whats-new/2019/02/aws-site-to-site-vpn-now-supports-ikev2/ VPC Route Tables Support up to 1,000 Static Routes | https://forums.aws.amazon.com/ann.jspa?annID=6554 Topic || Compute 19:02 Announcing a 25% price reduction for Amazon EC2 X1 Instances in the Asia Pacific (Mumbai) AWS Region | https://aws.amazon.com/about-aws/whats-new/2019/02/announcing-a-25-percent-price-reduction-for-amazon-ec2-x1-instances-in-the-asia-pacific-mumbai-aws-region/ Amazon EKS Achieves ISO and PCI Compliance | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-eks-achieves-iso-and-pci-compliance/ AWS Fargate Now Has Support For AWS PrivateLink | https://aws.amazon.com/about-aws/whats-new/2019/02/aws-fargate-now-has-support-for-aws-privatelink/ AWS Elastic Beanstalk Adds Support for Ruby 2.6 | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-elastic-beanstalk-adds-support-for-ruby-26/ AWS Elastic Beanstalk Adds Support for .NET Core 2.2 | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-elastic-beanstalk-adds-support-for-net-core-22/ Amazon ECS and Amazon ECR now have support for AWS PrivateLink | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-fargate--amazon-ecs--and-amazon-ecr-now-have-support-for-aws/ GPU Support for Amazon ECS now Available | https://aws.amazon.com/about-aws/whats-new/2019/02/gpu-support-for-amazon-ecs-now-available/ AWS Batch now supports Amazon EC2 A1 Instances and EC2 G3s Instances | https://aws.amazon.com/about-aws/whats-new/2019/02/aws-batch-now-supports-amazon-ec2-a1-instances-and-ec2-g3s-insta/ Topic || Solutions 21:57 Deploy Micro Focus Enterprise Server on AWS with New Quick Start | https://aws.amazon.com/about-aws/whats-new/2019/01/deploy-micro-focus-enterprise-server-on-aws-with-new-quick-start/ AWS Public Datasets Now Available from UK Meteorological Office, Queensland Government, University of Pennsylvania, Buildzero, and Others | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-public-datasets-now-available/ Quick Start Update: Active Directory Domain Services on the AWS Cloud | https://aws.amazon.com/about-aws/whats-new/2019/02/quick-start-update-active-directory-domain-services-on-aws/ Introducing the Media2Cloud solution | https://aws.amazon.com/about-aws/whats-new/2019/01/introducing-the-media2cloud-solution/ Topic || Business Applications 23:38 Alexa for Business now offers IT admins simplified workflow to setup shared devices | https://aws.amazon.com/about-aws/whats-new/2019/01/alexa-for-business-now-offers-it-admins-simplified-workflow-to-s/ Topic || AWS Cost Management 25:07 Introducing Normalized Units Information for Amazon EC2 Reservations in AWS Cost Explorer | https://aws.amazon.com/about-aws/whats-new/2019/02/normalized-units-information-for-amazon-ec2-reservations-in-aws-cost-explorer/ Topic || Migration & Transfer 25:39 AWS Migration Hub Now Supports Importing On-Premises Server and Application Data to Track Migration Progress | https://aws.amazon.com/about-aws/whats-new/2019/01/AWSMigrationHubImport/ Topic || Application Integration 26:07 Amazon SNS Message Filtering Adds Support for Multiple String Values in Blacklist Matching | https://aws.amazon.com/about-aws/whats-new/2019/02/amazon-sns-message-filtering-adds-support-for-multiple-string-values-in-blacklist-matching/ Topic || Management & Governance 26:32 AWS Trusted Advisor Expands Functionality With New Best Practice Checks | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-trusted-advisor-expands-functionality/ AWS Systems Manager State Manager Now Supports Management of In-Guest and Instance-Level Configuration | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-systems-manager-state-manager-now-supports-management-of-in-guest-and-instance-level-configuration/ AWS Config Increases Default Limits for AWS Config Rules | https://aws.amazon.com/about-aws/whats-new/2019/01/aws-config-increases-default-limits-for-aws-config-rules/ Introducing AWS CloudFormation UpdateReplacePolicy Attribute | https://aws.amazon.com/about-aws/whats-new/2019/01/introducing-aws-cloudformation-updatereplacepolicy-attribute/ Automate WebSocket API Creation in Amazon API Gateway Using AWS CloudFormation | https://aws.amazon.com/about-aws/whats-new/2019/02/automate-websocket-api-creation-in-api-gateway-with-cloudformation/ AWS OpsWorks for Chef Automate and AWS OpsWorks for Puppet Enterprise Now Support AWS CloudFormation | https://aws.amazon.com/about-aws/whats-new/2019/02/aws-opsworks-for-chef-automate-and-aws-opsworks-for-puppet-enter/ Find And Update Access Keys, Password, And MFA Settings Easily Using The AWS Management Console | https://aws.amazon.com/about-aws/whats-new/2019/01/my-security-credentials/ Amazon CloudWatch Agent Adds Support for Procstat Plugin and Multiple Configuration Files | https://aws.amazon.com/about-aws/whats-new/2019/01/amazon-cloudwatch-agent-adds-support-for-procstat-plugin-and-multiple-configuration-files/ Improve Security Of Your AWS SSO Users Signing In To The User Portal By Using Email-based Verification | https://aws.amazon.com/about-aws/whats-new/2019/01/email-based-verification-for-sso/ Topic || End User Computing 29:22 Introducing Amazon WorkLink | https://aws.amazon.com/about-aws/whats-new/2019/01/introducing-amazon-worklink/ AppStream 2.0 enables custom scripts before session start and after session termination | https://aws.amazon.com/about-aws/whats-new/2019/02/appstream-2-0-enables-custom-scripts-before-session-start-and-af/

How do you combine a business of 130,000 people with another of 230,000 people? The complexity of this task is enormous. Joerose Tharakan is in Strategic Partnership Business Development at Microsoft, and she represents Microsoft’s largest partnerships. Joerose and her team cover both GSIs and high value advisories.   Microsoft has a large ecosystem of alliances (around 100,000), but she’s focused on 14 GSIs in particular. She has seen Microsoft and Cognizant (one of the GSIs she manages) come together as two enormous organizations.  We caught up with Joerose at the SAPPHIRE NOW conference to talk about the complexity of aligning two companies and what best practices she’s learned along the way.

Robert Reich, Professor of Public Policy in Berkeley’s Goldman School and former Secretary of Labor in the Clinton administration, delivers the keynote address at the Fall 2008 Teaching Conference for new Graduate Student Instructors (GSIs). This event was sponsored by the GSI Teaching and Resource Center, Graduate Division   The GSI Teaching and Resource Center, an academic unit in Berkeley’s Graduate Division, prepares GSIs for the teaching they will do at Berkeley and the teaching they may do in future academic and nonacademic careers.

Robert Reich, Professor of Public Policy in Berkeley’s Goldman School and former Secretary of Labor in the Clinton administration, delivers the keynote address at the Fall 2008 Teaching Conference for new Graduate Student Instructors (GSIs). This event was sponsored by the GSI Teaching and Resource Center, Graduate Division   The GSI Teaching and Resource Center, an academic unit in Berkeley’s Graduate Division, prepares GSIs for the teaching they will do at Berkeley and the teaching they may do in future academic and nonacademic careers.