This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
Akamai has added Nvidia GPUs to its distributed cloud network adding a service optimized for processing video content at the edge.
The cloud service, announced at the National Association of Broadcasters' (NAB) conference, is powered by Nvidia RTX 4000 Ada Generation GPUs.
Akamai has been steadily building out its distributed cloud infrastructure for multiple use cases including AI and machine learning workloads that require low latency near data.
Foundational model debates--large language models, small language models, orchestration, enterprise data and choices--are surfacing in ongoing enterprise buyer discussions. The challenge: You may need a crystal ball and architecture savvy to avoid previous mistakes such as lock-in.
In recent days, we have seen the following:
Storytelling Meets Data Strategy
DisrupTV Episode 360 — Featuring Guy Kawasaki & Michael Southworth
In this standout episode of DisrupTV, hosts R “Ray” Wang and Vala Afshar welcome two influential voices shaping technology and leadership:
Anthropic CEO Dario Amodei said large language model personality is starting to matter, argued costs to train models will come down and agents that act autonomously will need more scale and reliability.
Those were some of the takeaways from Amodei, who spoke at Google Cloud Next.
Microsoft said it is raising the prices for its Dynamics 365 enterprise resource planning and customer relationship management applications.
The company said that Dynamics 365 hasn't seen a price increase in more than 5 years. The price changes go into effect Oct. 1 and range from an additional $10 to $15 more a month per user for most apps, but $30 more for a select apps.
Last week, executives from Cisco and Splunk, including Liz Centoni, Jeetu Patel, and Tom Casey, held a 45-minute round table where the combined entity outlined their plans for Cisco’s observability future. General opportunities and high-level customer observability pain points were communicated in that discussion. Yet, customers still seek high-level action plans and specific execution details from the merger.
When Adobe acquired Frame.io, it was chalked up as just another Creative Cloud solution that was so niche and specialized only people with expensive cameras and the agencies that hire them would reap the rewards. But in the wake of the announcement in 2021, I blogged a hot take:
"You can't go one minute without hearing about hashtag#AI."
We got the Constellation crew together to hear overarching themes of hashtag#GoogleCloudNext across every coverage area: hashtag#cybersecurity, hashtag#cloud applications, hashtag#data to decisions, hashtag#observability, and hashtag#generativeAI.
Here are a few observations from Google's announcements and hashtag#market positioning:
☁ Google's AI hashtag#technology is making cybersecurity more accessible (i.e. copilots, agents, etc.)
Amazon CEO Andy Jassy said AWS is underway building "primitive services," or discrete building blocks, for generative AI and that approach will ensure customers bring more workloads to the cloud service.
Jassy’s shareholder letter landed as Amazon appointed Andrew Ng to its board of directors. Ng is managing general partner of AI Fund. He was also the founder of DeepLearning.AI, co-founder of Coursera and an adjunct professor at Stanford. Ng also has worked with Baidu and Google Brain.
Meta launched its next-generation training and inferencing processor as it optimizes models for its recommendation and ranking workloads.
The second version of the Meta Training and Inference Accelerator (MTIA) highlights how cloud hyperscale players are creating their own processors for large language model (LLM) training and inferencing.
The following eight interviews are between Constellation Research founder and analyst R "Ray" Wang and customers attending the 2024 #GoogleCloudNext conference in Las Vegas, Nevada. They discuss the Google keynotes, main takeaways, future business implications, and more.
The interviewees include:
Google Cloud pitched an agent-oriented vision for generative AI at Google Cloud Next and highlighted a bevy of emerging use cases going from pilot to production.
"We are now building generative AI agents," said Google Cloud CEO Thomas Kurian. "Agents are intelligent entities that take action to help you achieve specific goals."
Intel said its Gaudi 3 AI accelerator will be available in the second quarter with systems from Dell Technologies, HPE, Lenovo and Supermicro on tap. Intel, along with AMD, is hoping to give Nvidia some competition.
The chipmaker's Gaudi 3 launch, announced at the Intel Vision conference, is the linchpin of Intel's plans to garner AI training and inference workloads and take share from Nvidia.
Paging all CXOs 📣 If you use the Constellation ShortList portfolio to narrow your search for leading enterprise technologies, don't miss this interview!👇
In 2024, we selected Hewlett Packard Enterprise Greenlake as one of the leading hashtag#transformation target platforms. R "Ray" Wang sits down with Fidelma Russo, CTO of HPE, to talk through why CXOs should strongly consider using HPE Greenlake to reach their digital transformation goals.
MongoDB expanded integrations with Google Cloud's Vertex AI, BigQuery, Google Distributed Cloud and Google Cloud Manufacturing Data Engine.
The expanded collaboration between MongoDB and Google Cloud boils down to a common theme: Enterprises need more seamless ways to build generative AI applications with their proprietary data.
Google Cloud outlined a series of services and enhancements across its platform in a bid to make it easier for enterprises to bring their data to generative AI models, build applications and deploy them at scale. Google Cloud's data analytics services will unify under the BigQuery umbrella and Vertex AI becomes the venue to tune, orchestrate and deploy models.
JPMorgan Chase CEO Jamie Dimon issued his annual shareholder letter and provided an incremental update on the company's artificial intelligence efforts as well as private cloud buildout.
In the letter, Dimon covered the expected interest rate outlook and geopolitical uncertainty, but also spent a good bit of space on AI, generative AI and transitioning to the cloud, which enables JPMorgan Chase to roll out services faster.
Two questions have haunted me for two decades: first, can we really address security without addressing networks? Second, are observability and security like oil and water? With customers adopting SASE (Secure Access Service Edge) solutions, we have begun to see a convergence of networks and security. Now, with Splunk's acquisition, Cisco has answered my second question.
Enterprises need to focus on data lakehouse strategies in 2024 to properly take advantage of generative AI; model architecture will be critical to managing large and small models; fine tuning is more difficult than you'd think; and CXOs were weary of database vendors glomming on to genAI hype.
Those were some of the takeaways from Constellation Research's April 5 BT150 CXO meetup.
These gatherings, held under Chatham House rules, are a venue to share information and emerging trends.
The debate over generative AI and its impact on the workforce is just heating up since the technology hasn't scaled at most enterprises. One of the biggest questions to ponder is whether genAI's impact will be muted by demographics.
Last week, we covered the intersection of tech layoffs, generative AI and middle management, which is taking the biggest hit. The Daily Show's Jon Stewart also had an interesting riff on the "promise of AI."
Wipro names Pallia CEO to replace DelaporteWipro has named Srini Pallia CEO effective immediately replacing Thierry Delaporte, who stepped down to pursue other interests.
AI's Impact on Work & Leadership
DisrupTV Episode 359 — Featuring Paul Daugherty & Eric Siegel
In this episode, hosts R “Ray” Wang and Vala Afshar engage with:
Paul Daugherty, Chief Technology and Innovation Officer at Accenture
Eric Siegel, Author of The AI Playbook: Mastering the Rare Art of Machine Learning Deployment
They delve into AI's transformative role in business, focusing on ethical deployment and leadership adaptation.
Archetype AI has raised $13 million in seed funding and launched Newton, a foundational model that is built to understand the physical world via data signals from accelerometers, gyroscopes, radars, cameras, microphones, thermometers and other environmental sensors.
Newton aims to take physical data and combine them with natural language to provide insights about the physical world. Architype AI's funding round was led by Venrock and included Amazon Industrial Innovation Fund, Hitachi Ventures, Buckley Ventures and Plug and Play Ventures.