The modern software development landscape isn’t happening just on one surface — it’s happening across an entire ecosystem of agentic tools. Agents are being developed at an unprecedented scale, and these agents require direct access to enterprise data for context and grounding. However, the current tooling for building agents and managing data is heavily fragmented. […]
The modern software development landscape isn’t happening just on one surface — it’s happening across an entire ecosystem of agentic tools. Agents are being developed at an unprecedented scale, and these agents require direct access to enterprise data for context and grounding. However, the current tooling for building agents and managing data is heavily fragmented.
In the mining industry, accurate geological analysis is required for improving mine design and development. Traditionally, this involved labor-intensive and time-consuming on-site inspections of drill core samples, often conducted in remote and challenging environments. ALS GeoAnalytics has streamlined this process through its LITHOLENS platform, a machine learning (ML)-powered system that uses deep learning and machine
Synthesia, an enterprise-focused AI video platform, has transformed content creation, helping everyone to create video content without cameras or microphones. To achieve this, Synthesia allows its users to create video avatars that synthesize the likeness and voice of real people. Synthesia achieves this through a series of in-house developed models based on various architectures, including
How Synthesia optimizes generative AI video inference on Amazon EC2 G7e instances Read More »
On the floor of HumanX, Ryan is joined by Adam Meyers, Senior VP of Counter Adversary Operations at Crowdstrike, for a deep dive on their latest Global Threat Report that tracks over 281 adversaries across nation states, e-crime, and hacktivist organizations.
Your fridge could be a threat to national security Read More »
Accessing enterprise data is shifting from static reports to dynamic use by autonomous systems. To keep up, organizations must route fragmented data from SaaS, IoT, and legacy sources into secure, scalable endpoints. However, moving to AI-driven exposure requires more than just connecting an LLM to a database, it requires a fundamental architectural shift to manage
Beyond the Query: 5 Scenarios Laying the Foundation for the Agentic Era Read More »
When most people think of A/B experimentation, they think of button colors, landing page layouts, or checkout flows. At Google, many fundamental infrastructure improvements also need the rigor of A/B experimentation. Optimizing a memory allocator or a kernel scheduler can unlock massive savings in compute resources and slash latency for millions of users. But experimenting
How Google Does It: Fleet-wide, large-scale A/B experimentation Read More »
Every device, user, and microservice generates data. Ingesting this data, extracting meaning and insights, and driving business decisions in real time has the potential to deliver transformational business value.The rise of agentic AI represents an opportunity for users to overcome the challenges inherent in real-time analytics. But while agentic AI has the potential to accelerate
What we announced in streaming AI at Next ‘26 Read More »
Because someone still has to own the consequences of what gets built and whether it can function at scale.
“You can’t vibe code scale”: What the AI hype gets wrong about software engineering Read More »
