Five years ago, Chief Information Officers (CIOs) were on top of the world. These executives played mission-critical roles in driving multi-million dollar projects that delivered massive change. However, a global recession and the inability of CIOs to deliver on business value have tarnished their status. Today's CIOs are under pressure to deliver on requests for innovation, cost reduction, connectivity, and a growing demand for business intelligence. Just as previous technology and business shifts have changed the role of the CIO, the new, more consumer-oriented business models of the social revolution will favor a new breed of business and technology leader. These leaders will have to navigate myriad converging and disruptive technologies, align new initiatives to both business value and technology feasibility, and identify strategies to leverage existing investments to fund innovation. Constellation's research and advisory offerings arm the CIO w/ the knowledge, best practices, and strategies required to manage the four personas of the next generation CIO.
In its annual report, Oracle cited a TikTok ban as a risk factor. The company also said Ampere could be consolidated under its financial results under certain conditions.
Shopify outlined a partnership with Target that could scale distribution for its premier merchants as well as AI-enhanced features across its unified commerce platform.
AI Begins And Ends With Nvidia
Despite the massive buzz on AI, only a few core companies that power the Age of AI will succeed. The high capital costs of research and development investment, the time required to take a product to market, and the ability to cross competitive moats create a massive barrier to entry. In fact, only a few vendors have shown significant profits in AI:
Take A Measured Approach To AI Adoption
The rush to AI projects often comes as an all or nothing approach. However, lessons learned from Constellation's Executive Network (CEN) members show a gradual and measured approach. Constellation sees five phases to adoption from both a business and cultural point of view:
Generative AI projects in the enterprise have moved beyond the pilot stage with many use cases going into production. Scaling has been a bit of a challenge, but the maturation of how CxOs are approaching genAI is underway.
Generative AI projects are gaining steam in the enterprise, but there's a big hurry up and wait vibe to them. Why? Enterprises operate on a continuum and don't have their ERP, cloud and data transformations complete.
Anthropic launched Claude 3.5 Sonnet, its latest large language model (LLM), with availability on Anthropic API, Amazon Bedrock and Google Cloud Vertex AI.
Target said it will launch Store Companion, a generative AI chatbot designed to help employees boost customer experiences, across its 2,000 stores by August.
Three well-known generative AI pioneers have formed Safe Superintelligence Inc., a startup that will focus on safe superintelligence (SSI). There are plenty of open questions to ponder, according to Constellation Research's Chirag Mehta.
Dell Technologies and Supermicro are building an AI factory with Nvidia for Elon Musk's xAI.
SurrealDB raised $20 million in venture capital to bring its total to $26 million. The bet: Multi-model databases will be critical to enterprises looking to consolidate multiple databases so developers can move faster.
Hewlett Packard Enterprise and Nvidia teamed up to launch a set of private cloud offerings and integrations designed for generative AI workloads. Nvidia AI Computing by HPE will be available in the fall.
