Constellation analysts Larry Dignan and Michael Ni explore why the Decision Velocity metric is the key to closing the gap between a pilot program and a successful enterprise-wide implementation.

Constellation analysts Larry Dignan and Esteban Kolsky examine the quot;parade of robotsquot; at CES 2026 to separate genuine innovation from marketing hype.

Kristie Grinnell shares how TD SYNNEX is building an “AI-fluent” organization by using AI agents to drive both revenue growth and productivity and pioneering an “AI factory” to manage tech debt and boost agility across its global supply chain.

Hitachi Vantara is integrating autonomous AI, leveraging edge computing, and forming strategic partnerships to deliver comprehensive, sustainable solutions for data-driven businesses.

Backed by Provenir’s AI Decisioning Platform, Jeitto has integrated fraud detection and identity checks directly into its workflows—eliminating silos between credit and fraud teams.

Certinia, which provides management software for professional services organizations, delivered its first installment of AI agents built on Salesforce's Agentform platform as part of its summer release.

Ciroos raised $21 million to deliver an agentic AI teammate for SRE, DevOps and operations teams to automate and cut incident response times by 90%. What's interesting about Ciroos is that it is looking to address gaps in operations and its approach wouldn't have been possible without agentic AI. The company is looking to solve a big problem for site reliability engineers (SREs)--it's almost impossible to keep up with operations across multiple applications, domains, architectures and tools including static runbooks and dashboards. cAnd as enterprises move to AI agents, keeping up with operations is even more challenging. Energy Impact Partners led the funding. Ronak Desai, co-founder and CEO of Ciroos, said the company built its AI SRE Teammate to quot;end the toilquot; for SREs by accelerating root cause identification, automating actions and giving back time and control to build reliable systems.

Constellation Editor in Chief Larry Dignan sat down with Renganathan at Constellation Research’s Ambient Experience Summit. Here are the main takeaways.. Digital transformation challenges remain. Companies struggle to fully leverage their digital platforms and integrate new technologies effectively, said Renganathan, an AX100 member. quot;Customers have invested heavily in these platforms, but they have not used the tools to its best potential,” he added. Data quality is key to AI success. Clean, consolidated data is essential for successful AI implementation and improving both customer and employee experiences, said Renganathan. AI has been pursued heavily, but many enterprises have had to backtrack to get their data strategy down. quot;Data is a fulcrum. If the data is not right, then whatever the AI that you're going to implement is not going to help,” he said. The pressure to adopt AI. There's significant board-level pressure to adopt AI, but most companies are still struggling with effective implementation, said Renganathan. quot;If you're not talking AI, then you will become irrelevant,” said Renganathan, who noted that there are enterprises that are struggling to put AI to work and deliver returns. Talent and skills are challenges. Organizations need to focus on continuous skilling and reskilling to prepare for technological transformations. quot;Do you have the right talent or the skill set to take on projects? That's the biggest problem,” said Renganathan. Use AI to become more agile in uncertain times. Leaders must focus on transparency, trust, and adaptability to navigate current business challenges. quot;We are in unprecedented times... we need to be bold. Be transparent, build trust, and ensure adaptability,” said Renganathan.