211 |Breaking Analysis | The rise of observability and why it matters to your business
The rapid awareness and adoption of AI has increased concerns around security, governance, compliance and business risk. The digital business imperative to improve customer experience combined with a vastly more complex technology environment, comprising multiple clouds, IoT, containers, app integration and the popularity of open source, are driving need for better observability across technology stacks. […]
210 | Breaking Analysis | David vs Goliath reimagined – OpenAI’s approach to AI supervision
Artificial general intelligence, or AGI, has people both intrigued and fearful. As a leading researcher in the field, last July, OpenAI introduced the concept of superalignment via a team created to study scientific and technical breakthroughs to guide and ultimately control AI systems that are much more capable than humans. OpenAI refers to this level of […]
209 | Breaking Analysis | Beyond separating compute & storage…Journey to the 6th data platform
With George Gilbert We believe today’s so-called modern data stack, as currently envisioned, will be challenged by emerging use cases and AI-infused apps that begin to represent the real world, in real time, at massive data scale. To support these new applications, a change in underlying data and data center architectures will be necessary, particularly […]
208 | Breaking Analysis | re:Invent ’23 underscores a new simplicity mandate for AWS
With George Gilbert Generative AI has created a new mandate in enterprise tech with significant implications for all companies generally and AWS specifically. Amazon’s powerful playbook based on agility, developer choice, power, scale, reliability and security must now evolve to accommodate simplicity and coherence for mainstream customers. This imperative came into clear focus at AWS […]
207 | Breaking Analysis | The OpenAI meltdown…Winners & losers in the battle for AI supremacy
Episode 207
Conventional wisdom says Microsoft is the big winner in the recent OpenAI saga. We don’t quite see it that way. Both Microsoft and OpenAI are in a worse position today than they were last Thursday, prior to the firing of OpenAI CEO Sam Altman and the ongoing public drama that ensues. Microsoft and OpenAI had a huge lead in market momentum, AI adoption and feature acceleration and were setting the narrative in AI.
206 | Breaking Analysis | The copilot era takes flight at Microsoft Ignite 2023
Microsoft Ignite 2023 was one part a celebration of yearlong technological innovations, one part announcing the general availability of previously announced products, one part vision, one part ecosystem and four parts copilots everywhere. Copilots promise an historic software-led productivity increase. Perhaps for the first time in industry history we’re seeing huge demand for software coincide […]
Breaking Analysis: IBM turns the corner with Watson, why 2.0 is a breakthrough opportunity
With Watson 1.0, IBM deviated from the silicon valley mantra, fail fast, as it took nearly a decade for the company to pivot off of its original vision. In our view, a different dynamic is in play today with Watson 2.0 – i.e. watsonx. IBM’s deep research in AI and learnings from its previous mistakes, […]
Breaking Analysis: The Gen AI power law – How data diversity will influence adoption
Our research indicates that the adoption of generative AI is occurring across a variety of frameworks with diverse deployment models, data sets and domain specificities. The transformative power of generative AI for industries is colossal, and we are convinced that AI will gravitate to where data lives. The power law of Gen AI, developed […]
Breaking Analysis: AI revenue riddle – Azure sees gains, when will other cloud titans see the surge?
In 1987, Nobel Prize-winning economist Bob Solow famously observed, “You can see the computer age everywhere but in the productivity statistics.” This proclamation became known as the productivity paradox. Ironically, Solow’s statement preceded the greatest productivity boom since the dawn of the computer age which subsequently came to fruition in the 1990’s. It can be […]