Erasing the trust gap in AI-driven development
Although software developers still write much of the code and integrate systems, their role is expanding to include AI oversight. Today’s developers might spend as much time reviewing AI-generated code as writing original code. They act as the last line of defense, ensuring that “almost right” code is made fully right before it hits production. […]
Read MoreSpotlight report: How AI is reshaping IT
The emergence of AI as the next big game changer has IT leaders rethinking not just how IT is staffed, organized, and funded, but also how the IT team works with the business to capture the value and promise of AI. Learn more in this Spotlight Report from the editors of CIO, Computerworld, CSO, InfoWorld, […]
Read MoreApache Flink integrates AI for real-time decision-making
With the 2.1 release, Apache Flink also now supports Process Table Functions (PTFs), the most powerful kind of function for Flink SQL and Table API, the PMC said. Conceptually, a PTF is a superset of all other user-defined functions, mapping zero, one, or multiple tables to zero, one, or multiple rows. This enables implementing user-defined […]
Read MoreGoogle upgrades Agent2Agent protocol with gRPC and enterprise-grade security
This ability is critical for developers and large enterprises, especially Fortune 500 companies, as they won’t deploy agents that can’t prove their identity cryptographically, said Paul Chada, co-founder of DoozerAI — an agentic digital worker platform. Seconding Chada, HyperFRAME’s Walter said that the new security capability will help enterprises ensure that appropriate access control and […]
Read MoreInformatica enhances IDMC with AI-powered MDM, governance, and compliance tools
Informatica is adding new AI-based capabilities to its Intelligent Data Management Cloud (IDMC) platform to help enterprises manage their data more efficiently for generative AI and agentic applications and use cases. IDMC sits on top of enterprise databases, ingesting and cataloguing from various sources and applying data governance rules as it goes. It includes tools for […]
Read MoreGoogle’s new toolset to help connect AI agents to BigQuery
The new toolset contains tools that will allow AI agents to execute queries inside BigQuery as well as fetch metadata from the cloud-based data warehouse. These tools include the list_dataset_ids tool, which retrieves all dataset IDs within a Google Cloud project; get_dataset_info tool, which provides detailed metadata about a specific dataset; list_table_ids tool, which lists […]
Read MoreSnowflake brings analytics workloads into its cloud with Snowpark Connect for Apache Spark
Snowpark Connect for Apache Spark is Snowflake’s take on that technology, enabling enterprises to run their Spark code on Snowflake’s vectorized engine in Data Cloud. For Snowflake customers, the new capability will make it easy for developers to move their code to Snowpark, essentially offering a combination of Spark’s familiarity and Snowflake’s simplicity, according to […]
Read MoreThe importance of memory for AI
Persona memory stores the agent’s identity, personality traits, roles, expertise, and communication style. Toolbox memory contains tool definitions, metadata, parameter schemas, and embeddings for the agent’s capabilities. Conversation memory stores the history of exchanges between the user and the agent. Workflow memory tracks the state of multistep processes. Episodic memory stores specific events or experiences […]
Read MoreWhat public cloud gets wrong with AI
AI is not cheap. During the past year, public cloud giants have significantly accelerated their investments in AI. By the close of 2024, Microsoft had invested more than $80 billion in AI infrastructure, partnerships, and development. AWS is on track to spend nearly a year’s worth of its revenue on AI in 2025, with AI […]
Read MoreJetBrains working on higher-abstraction programming language
JetBrains, creator of the popular Kotlin programming language, is developing a new programming language intended to make AI and code much more controllable and transparent. In a July 23 interview with InfoWorld, JetBrains CEO Kirill Skrygan elaborated on company plans for an as-yet-unnamed language that would describe a program at a higher level of abstraction. […]
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