This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
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In a thought-provoking new episode of DisrupTV (Episode 405), R “Ray” Wang hosts a panel featuring Lee Rainie (Director of the Imagining the Digital Future Center at Elon University), along with authors Margaret Moore and Jeffrey Hull, co-authors of The Science of Leadership.
The latest batch of enterprise technology projects we’re watching include a ransomware recovery, SAP clean core implementation, supply chain optimizations, using enterprise AI over genAI and choosing to build instead of buy.
Business leaders have learned to give AI very clear instructions. Prompt engineering is now a skill set. You build structure, add context, define goals, and voilà, the model gives you exactly what you asked for. Or flags your mistakes instantly.
Now compare that to how we lead people.
Infosys CEO Salil Parekh said the company is "seeing good demand for AI agents" for vertical and horizontal use cases. Infosys is also deploying AI agents within its own business process management unit.
IBM reported strong second quarter results, a revenue pop for its infrastructure business due to its new mainframe system and a growing backlog for its AI business.
Big Blue reported second quarter earnings of $2.2 billion, or $2.31 a share, on revenue of $17 billion, up 8% from a year ago. Non-GAAP earnings were $2.80 a share.
Wall Street was looking for IBM to report non-GAAP second quarter earnings of $2.65 a share on revenue of $16.59 billion.
ServiceNow handily topped expectations in the second quarter and said it is gaining traction in CRM as it expands its footprint.
The company reported second quarter net income of $385 million, or $1.84 a share, on revenue of $3.22 billion, up 22.5% from a year ago. Non-GAAP earnings were $4.09 a share.
Wall Street was looking for non-GAAP second quarter earnings of $3.57 a share on revenue of $3.12 billion.
Google Cloud revenue in the second quarter surged 32% to $13.6 billion as Alphabet parent of Google, delivered better-than-expected results.
Alphabet reported second quarter earnings of $2.31 a share on revenue of $96.4 billion, up 14% from a year ago. The company said it saw strong growth across YouTube, Google Cloud, search and subscriptions.
Wall Street was looking for Alphabet to report non-GAAP earnings of $2.19 a share on revenue of $93.96 billion.
SAP said its cloud revenue in the second quarter was up 24% with total revenue up 9%.
The company reported second quarter net profit of â¬2.46 billion, or â¬1.45 a share, on revenue of â¬9.03 billion, up 9% from a year ago. A weaker US dollar was a currency headwind in the quarter. Adjusted earnings were â¬1.50 a share.
Cloud ERP revenue in the second quarter was â¬4.42 billion, up 20% from a year ago.
General Motors said it is expanding its software services revenue, adding AI talent and honing its development practices to bring down warranty costs.
The auto giant reported second quarter earnings of $1.89 billion, or $1.91 a share, on revenue of $47.12 billion, down nearly 2% from a year ago.
Here are some of the enterprise technology and AI takeaways from GM CEO Mary Barra and CFO Paul Jacobson.
Udemy is betting that learning content will be better utilized when integrated into workflows and AI-driven applications.
The company said it will launch a Model Context Protocol (MCP) server that's designed to give enterprises the ability to embed personalized learning into work tools.
According to Udemy, education content can be embedded into AI tools such as OpenAI's ChatGPT, Anthropic's Claude, Perplexity and Cursor.
Verizon has rolled out AI customer experiences and is betting that the move will win accounts in a hotly contested wireless services market. The company announced a partnership with Google Cloud in April to deliver AI experiences with Gemini models and Verizon went live June 24.
Large language models (LLMs) have reached the phase where advances are incremental as they quickly become commodities. Simply put, it's the age of good enough LLMs where the innovation will come from orchestrating them and customizing them for use cases.
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On the latest episode of DisrupTV, we gathered four powerful voices shaping the future of business through AI-first thinking:
Systems integrators and services companies are launching AI agents, releasing frameworks and trying to help enterprises build multi-agent systems. The big question is whether AI agents turn out to be a boon or a bust for systems integrators in the long run.
In recent days, we've heard from multiple systems integrators with more on tap talk about agentic AI. The extension of integrators into agentic AI makes sense given that they have the expertise to work across systems and processes. Consider:
Delta Air Lines is pricing about 3% of its domestic fares with an artificial intelligence system and plans to get to 20% by the end of 2025.
Speaking on Delta second quarter earnings conference call, Delta President Glen Hauenstein gave an update on the company's plan to leverage AI-driven dynamic pricing.
CxOs are being barraged with constant change where AI time frames are compressed to days before there's a new development. The breakneck pace can freeze enterprise technology buyers since they can't spend on every new development, need to show returns and donât want AI tech debt.
At AWS Summit New York, the focus was putting the fundamental approaches in place to give enterprises the structure to adopt AI agents.
Zoho has launched its own large language model called Zia LLM, 40 pre-built Zia Agents, a no-code agent builder with Zia Agent Studio and a model context protocol (MCP) server that will connect its AI actions with third-party agents. The combination means Zoho is looking to democratize and differentiate with an AI strategy that revolves around developing its own right-sized models, optimizing and passing on the savings to customers.
New ConstellationTV drop! 👀 In episode 109, co-hosts Liz Miller and Holger Mueller unpack summer's tech news landscape, including HPE's evolution and the intersection of #AI, networking, and #cloud technologies...
Next, Holger explains the emerging AI protocol standards reshaping inter-agent communication. Learn how these frameworks prevent vendor lock-in and create more interoperable AI ecosystems. 🤔
Intuit's Chief Data Officer Ashok Srivastava Ph. D said the company is now deploying AI agents across its platform, GenOS and products.
Srivastava walked through AI agents deployed on Intuit, which is built on the AWS stack. "Two weeks ago, we formally launched our agent experiences," said Srivastava, speaking during the AWS Summit New York keynote.
Amazon Web Services launched Amazon Bedrock Agent Core, a set of tools designed to deploy and operate AI agents at scale. Agent Core includes a secure serverless runtime, access to tools and support for open-source frameworks.
In the big picture, AWS is aiming to be the best place to build and run AI agents that can carry out tasks with minimal human involvement. AWS is also looking to give enterprise customers tools that can give them stability in a rapidly changing AI environment.
Anthropic is best known for its Claude large language model (LLM), but its enterprise software ambitions are clear as the company builds out its go-to-market team.