Tim Bergin

How are enterprises achieving generative AI wins *now* while also preparing for the bigger disruptions on the horizon? To find out, check out this preview of our new ebook, "Crossing the generative AI tipping point: From quick wins to sustained growth."

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Some sane advice as Retailers continue to expand the horizons with Gen-AI: Lean into "test-and-learn" thinking! Retailers will need to experiment with different models to find the right tradeoff for your use cases. It is not a "one-size-fits-all" #aws #genai #retailtech #awsforRetail

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In this podcast, Google Cloud's Oliver Parker vice president, global generative AI GTM, and Miku Jha, director, AI/ML and generative AI partner engineering, sit down with Bob Evans to talk about how businesses can safely and efficiently scale their generative AI efforts, focusing on high-value opportunities while leveraging Google Cloud’s open platform, extensive ecosystem, and advanced AI/ML capabilities to deliver meaningful results for clients. Scaling Generative AI The Big Themes: Prioritizing cost and impact: Businesses are focused on the dual priorities of cost efficiency and impactful results when implementing generative AI. With numerous potential applications for generative AI, organizations need to evaluate which projects will deliver the highest value. This approach involves collaborating with partners to identify the opportunities that offer the most substantial benefits. Open ecosystem advantage: Google Cloud’s emphasis on openness and flexibility is a key differentiator in the AI landscape. Its commitment to open systems and platforms allows for various models and technologies, including first-party and open-source offerings. This open ecosystem approach enables businesses to leverage various AI models and infrastructure options, enhancing scalability and adaptability. End-to-end offerings: Google Cloud offers a comprehensive AI stack that supports a wide range of applications, from foundational models to advanced infrastructure. This end-to-end tool facilitates the development and scaling of sophisticated AI applications. The integration of various layers, including model capabilities, hardware options, and platform services, enables partners to deliver efficient and effective AI offerings. The Big Quote: “Having great models is one thing, but having differentiated infrastructure and a platform — all those three things come together, and I think we are unique in that sense.” More from Google Cloud: Learn more about Google Cloud and AI.

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AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

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Super excited about this talk! I'm going to dive into some of the work we've done under the covers in AWS, in services like Lambda, Aurora, and DynamoDB, to make them even more resilient, and how to apply those same techniques in your own systems.

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The Forbes 2024 Cloud 100 List is live ☁ Congrats to all the honorees – the world's top 100 private cloud companies –including the 3 healthcare and life sciences companies featured this year: • Benchling - biotech R&D platform • Komodo Health - healthcare data analytics • Abridge - AI for clinical documentation For more on how AI is colliding with cloud computing, check out Bessemer Venture Partners's 2024 Cloud 100 report. Personally I'm focused on advancements in multi-modal AI, as applied to biomedical applications (Trend 3!): https://lnkd.in/euzurvQV

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Venture capitalists have poured billions into defense tech startups, but the U.S. government seems hesitant to take the plunge. Is it a lack of trust or just a fear of commitment? Is this a case of "innovation theater" or a missed opportunity for national security? Either way, this mismatch could dampen the innovation we need to stay ahead in the global arena. #SiliconValley #DefenseTech #GovernmentContracts #VentureCapital #EmergingTech https://lnkd.in/gSjCP6TU

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It is exciting to see organizations like The Coca-Cola Company leveraging Microsoft’s #AI capabilities to enhance customer experiences, streamline workloads, foster innovation, and achieve more. The Coca-Cola Company will be making a five-year, $1.1B investment in Microsoft’s cloud and generative AI capabilities, expanding systemwide access to Microsoft solutions across their workforce to further advance AI and broader digital transformation goals. This strategic investment underscores the critical role of cloud technology and AI in shaping the future of business operations. #MSFTAdvocate 

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When you’re talking about GenAI, scalability and safety are key. I spoke to Digiday after the AWS summit on both items!

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My take-aways from attending Amazon Web Services (AWS) #reInvent2024 last week in #Vegas: 1. #GenerativeAI Takes Center Stage Amazon Nova: AWS launched its own family of foundation models (FMs), offering high performance at a lower cost. This gives developers a powerful new option for building generative AI applications. #Trainium3 Chips: These new #chips are purpose-built for the demanding workloads of generative AI, promising even faster training and inference. Amazon #Bedrock Enhancements: Bedrock, AWS's FM service, received major updates, including new models, an AI safeguard to mitigate risks, and agent capabilities for creating conversational AI experiences. 2. #Compute Gets a Boost #Trn2 Instances: These instances deliver unparalleled performance for AI/ML training, with significant improvements in speed, memory, and bandwidth. #P5en Instances: Designed for deep learning and HPC, these instances offer massive network bandwidth to accelerate demanding workloads. I8g Instances: Storage performance reaches new heights with I8g instances, optimized for I/O-intensive applications. 3. #Security Takes Priority New Security Specializations: AWS introduced four new security specializations, including one focused on AI security, to help customers identify partners with expertise in protecting AI applications. #Buy with AWS: This feature allows partners to integrate #AWSMarketplace directly into their websites, simplifying procurement for customers. 4. #Data and #Analytics Advancements Next-Gen Amazon #SageMaker: SageMaker evolves into a unified platform for data, analytics, and AI, streamlining the machine learning #workflow. #AmazonQ Enhancements: Q, AWS's conversational AI service for data analysis, gains new capabilities to make insights even more accessible.

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If you're at Amazon Web Services (AWS) #reinvent you don't want to miss this tomorrow at the #AWS #GenAI Live show. Check out how to tune in below

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Thrilled to have completed and received my certification for the MIT Professional Education - Applied Generative AI for Digital Transformation course! 🎉 Learning how AI is transforming industries has been incredibly inspiring. In today's fast-paced industry, staying ahead of the curve is a must. Continuous learning is not just a buzzword, it's a necessity. #GenerativeAI #MIT #NeverStopLearning #FutureOfWork

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Honored to be named in TIME's inaugural AI 100 list—a recognition that reflects the outstanding work of our entire AI Research org! Our efforts with autonomous agentic AI and our LLM benchmark for CRM highlight our core belief: AI's greatest potential lies in enhancing human capabilities, not replacing them. We're creating tools that empower businesses while prioritizing ethical, sustainable AI development. To my colleagues and the wider AI research community: your creativity and dedication make these advancements possible. As we continue to push boundaries in AI for CRM, let's keep focusing on responsible innovation that serves both business and society. https://lnkd.in/gxhNgFa5 #AI #Innovation #TIME100AI #ResponsibleAI

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Amazon Web Services (AWS) is launching the Generative AI Partner Innovation Alliance, taking our commitment to AI innovation to new heights. Building on the success of our Generative AI Innovation Center (GenAIIC), we're scaling globally to help even more customers harness the transformative power of gen AI. The impact? • Over 50% of GenAIIC proof-of-concept solutions are now in production • Thousands of customers, including DoorDash, Nasdaq, and PGA TOUR, are seeing real-world results We're teaming with world-class partners like Booz Allen Hamilton, Crayon, and Deloitte to bring industry-specific expertise and regional insights to help customers innovate faster, boost productivity, and sharpen their competitive edge through generative AI. From customized language models in Latin America to public sector solutions in Asia Pacific, we're committed to driving AI adoption responsibly and securely across diverse markets. Learn more: https://lnkd.in/eHYBYPHH

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“In the digital gold rush, everyone’s racing for the biggest shovel—without a clue where to dig, what to build, or who’ll pay for it. It’s all just bhedchal, leaving misguided hopefuls with empty shovels. That’s why at NxtGen Datacenter & Cloud Technologies we urge everyone to try our AI business productivity tools for free and uncover real, impactful practical use cases…”

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Google Acted Appropriately Firing 28 Employees There is a lot of talk of "bringing our full selves to work" these days. As a people leader, I encourage our teams to be themselves. At Terzo we embrace our diversity and we honor our global and diverse teams. All companies have their own culture. I believe most are moving in the direction of more flexibility and respect for diversity. This all being said, operations leaders have to draw the line somewhere because businesses don't exist to be a posterboard for one employee cause or the other. There is a big difference in an employer accepting different points of view and an employer tolerating employees trying to force a point of view on the company. This is especially true when acts of protest endanger other employees or take up positions that can be justified on the one hand, but can be deeply offensive to other employees on the other hand. Based on what I know of this incident at Google, the company acted appropriately to remove protesting employees; the company was correct to call professional law enforcement to avoid ill treatment by staff by other staff and also conducted a swift security investigation once the protests were quelled. The results (so far) includes termination of 28 employees. According to Google, investigations are ongoing and more actions may be taken to protect the company, its assets, and employees. (See coverage on CNBC link below in comments). What About Free Speech? The First Amendment to the US Constitution and the Bill of Rights, of which it is a part, stand as one of the great documents in the world. The rights conferred are powerful and of immense importance. Free speech and the related right to assemble are foundational to democracy and civil society. However, it is important that employees understand that they do not have free speech rights at work. These protest could have been lawfully carried out in the public square instead of in office buildings. BIG IDEA No 1: Don't bring your protest to work unless you are willing to be terminated for your cause. <<<< >>>> What if you believe in your cause so much that you are willing to suffer the consequences of your protest to further your message? This is exactly what Dr. Martin Luther King, the great America Civil Rights leader explained with this brilliant quote: "I submit that an individual who breaks a law that conscience tells him is unjust, and willingly accepts the penalty by staying in jail to arouse the conscience of the community over its injustice, is in reality expressing the very highest respect for the law." - MLK BIG IDEA No 2: If you bring your protest and civil disobedience to work and get terminated, heed MLK's words and don't complain when you get fired. #hr #diversity #futureofwork #politics #isreal #gaza #peace #war #operations #coo #security #corporatesecurity #humanrights

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Really exciting Amazon Q news today! Back in November at re:Invent, we launched AWS’s generative AI assistant, Amazon Q in preview. Today, we are announcing the general availability of Amazon Q Developer, Amazon Q Business, Amazon Q in QuickSight, and a new capability of Amazon Q Business – Amazon Q Apps.   First up, Amazon Q Developer assists developers and IT pros with all of their tasks. Not only does it generate highly accurate code, it also tests, debugs, and has multi-step planning and reasoning capabilities that can transform (e.g., perform java version upgrades) and implement new code generated from developer requests. Also included, all CodeWhisperer functionality such in-line code suggestions and security scanning will now exist as part of Amazon Q Developer.   Then with Amazon Q Business, you’ll find a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on all of the data and information across your different enterprise systems (e.g. Salesforce, Amazon S3, ServiceNow, Microsoft 365, Atlassian, and more than 40 other data sources.) With Q Business, employees can be more creative, data-driven, efficient, prepared, and productive. We are also introducing Amazon Q Apps today. This capability of Amazon Q Business is a really powerful tool for employees to use natural language to quickly and securely build their own generative AI applications to automate daily tasks operating on your own proprietary enterprise data in a secure environment. This allows internal teams to build apps from their own data and for their own specific needs.   There’s so much I could share about these capabilities and as to why Amazon Q really is the most capable generative AI-powered assistant for accelerating software development and leveraging companies’ internal data. Go check out Swami’s blog and the Q resources to learn more, see how these really are differentiated, and find out how Amazon Q offers something for everyone. #GenAI #AWS   Here are some resources to get you started and see why this is such exciting news! https://lnkd.in/gd2cBVCi aws.amazon.com/q

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We are seeing incremental improvements and quantum leaps in performance and productivity since Gen AI took us by surprise. The accessibility of AI tools has raised consumer expectations to higher standards. They now demand hyper-personalised experiences that also feel highly conversational. While this creates incredible opportunities for innovation, it also puts immense pressure on enterprises to deliver increasingly sophisticated experiences. But the human element in AI will always remain crucial. The most effective technologies will understand each person’s needs, context, and behaviours, then deliver personalised, accurate, and trusted experiences, while also optimising for business outcomes. This is the moment of achieving coherency. This is something that is not humanly possible without AI, or the other way around. #artificialintelligence #customerexperiences #generativeai

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