Results

Salesforce announced a bevy of Informatica updates and integrated the data platform more with its core properties. Here’s what’s available, planned and launching in 2026.

  • Headless Data Management and Headless CLAIRE — Generally Available, Spring 2026
  • Agentic Integration — Q4 2026
  • Data Quality Agent — Generally Available, Spring 2026
  • Metadata Enrichment Agent — Q4 2026
  • Agentic Multidomain MDM and Data Steward Agent — Q4 2026
  • Data 360 Connector and Scanner — Generally Available, Spring 2026
  • MDM Integration with Data 360 — Q3 2026
  • CLAIRE in Slack — In Preview Now — Q4 2026
  • Agent Fabric Context Catalog — Generally Available, Spring 2026

OpenAI is likely to file for its IPO soon as it scurries to the public markets to ride along with Anthropic, says the Wall Street Journal. I can't wait to see these numbers.

The Journal said in its story in a rather understated way.

OpenAI will have to overcome a host of other challenges, namely concerns about whether the company will be able to generate enough revenue to support its giant data-center spending commitments.

Ya think?

Aveva, an industrial software company, and IFS, which focuses on enterprise software for verticals such as manufacturing, inked a deal to integrate systems to better track assets and data. The companies said the joint effort will focus on combining operational and asset data to speed up decisions. Use cases will revolve around maintenance, capital planning and risk management. The partnership is the latest indicator that operational technology and IT are converging.

Blackstone launched a joint venture with Google to offer TPUs as a service. The venture is focused on building TPU-optimized AI data centers and giving customers another option to access. The joint venture starts with a $5 billion investment to bring 500MW of capacity online in 2027.

From a statement:

"The company expects to bring the first 500 MW of capacity online in 2027, with plans to scale significantly over time. Google will supply hardware, including TPUs, as well as software and services to the new company so it can rapidly accelerate to meet the growing demand for accelerated computing, leveraging the benefit of Google’s technical and domain expertise."

Here's an interesting read from Salesforce Ben on how the Salesforce ecosystem is struggling with frequent shifts:

"For a long time, the platform was relatively easy to understand at a high level. Sales Cloud was for sales teams, Service Cloud was for support, and so on. Even as the ecosystem expanded, the messaging was largely tied to business functions and real-world outcomes. Today, it doesn’t feel that straightforward.

Instead of clearly defined clouds or use cases, the conversation has moved heavily toward Agentforce, AI, AI infrastructure, and now, the “headless” experience. Also, these products are being positioned less as standalone solutions and more as part of a broader AI ecosystem. This isn’t necessarily the wrong shift to make, but it is a very different way of communicating value in Salesforce."

I doubt that this is a Salesforce-specific issue. All of SaaS is struggling to keep up.

NextEra Energy will acquire Dominion Energy in an all stock deal valued at nearly $67 billion. The combined company will be the largest utility with a footprint in Florida, the Carolinas and Virginia. This deal is mostly about AI data centers, which Dominion largely powers.

The funny part about this deal is I expected the deck to heavily note the AI data center opportunity. Instead, the companies danced around it.

Take this slide. Power consumption is surging. No mention of AI.

NextEra 1

Or this one. Surely, the combined company will just be full of love.

NextEra 2

At least in this slide, the companies at least mentioned data centers.

NextEra 3

But you get the gist. Here's a combination of two energy companies that are clearly merging due to what's needed for AI data centers but doesn't want you to know that fact. This whole merger announcement highlights how the tide has turned and NIMBY is going to be a big challenge for building AI data centers.

Applied Materials reported strong fiscal second quarter results and it's not surprising given the company makes chip manufacturing equipment. Applied Materials benefits from the CPU, GPU and memory boom.

But it's worth noting comments by Applied Materials CEO Gary Dickerson on internal AI usage. He said:

"Over the past several months, global AI adoption has continued to accelerate as improvements in the performance and cost of AI computing are translating into real-world applications that deliver compelling returns for users. If I look at our own company as an example, today, we have more than 35,000 AI users across our global workforce. We are deploying AI to drive new scientific breakthroughs, accelerate research and development programs, optimize factory and supply chain operations, increase innovation and productivity and services and automate workflows across our corporate functions. This enables us to redirect resources towards higher value work and grow the business significantly faster than our headcount. Similar dynamics are playing out across a broad range of industries and organizations."