From Recommendation to Action: Scaling Autonomous Databricks Optimization in the Enterprise

Aug 6, 2026 By Unravel Data In Unravel
Every Databricks optimization platform can tell you what should change. The harder question is: when should a system be trusted to make that change on its own? This session follows the journey of an Unravel customer as we moved from surfacing Databricks platform optimization recommendations to safely applying them in production. Prajakta will talk about the engineering decisions, the guardrails, and the trust model that made autonomous optimization possible in an environment where every change carries operational risk.
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astera

Building a Data Warehouse with the Astera AI Agent: From Prompt to Insight

Aug 6, 2026 By Laiba Jamil In Astera
Establishing a data warehousing system that meets all your business intelligence targets is by no means an easy task. It traditionally involves profiling source systems, designing a dimensional model by hand, writing the DDL to deploy it, building the load pipelines, and scheduling them to run, work that can take weeks. Astera's manual, step-by-step approach to this is covered in Building a Data Warehouse – A Step by Step Approach.
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databox

How to Do Organic Social Media Reporting Across Every Platform Without Blending Vanity Metrics

Aug 5, 2026 By Nevena Rudan In Databox
Organic social reporting collapses into vanity metrics whenever the reporter runs out of time to dive deeper, which is most of the time. Follower counts get compared because they’re comparable at a glance. Engagement rates get quoted because they sound comparable, even though each platform calculates them differently.
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hitachi vantara

Raising the Stakes for Sustainable, AI-ready Infrastructure

Aug 4, 2026 By Courtney Hadden and Simon Ninan In Hitachi Vantara
Recent headlines are impossible to ignore. AI adoption is driving an enormous surge in demand for energy to power data centers and the storage systems operating within them. Energy constraints have become a primary bottleneck for data center development, with long grid connection queues and capacity backlogs.
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integrate

Best AI Customer Support Software for Enterprise Teams in 2026

Aug 4, 2026 By Donal Tobin In Integrate
Enterprise customer support has reached an inflection point. The AI customer service market now exceeds $15 billion, and Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues by 2029. Yet many organizations still struggle with platforms that deflect rather than resolve, require months of implementation, or lack the compliance depth needed for regulated industries. The difference between success and failure often comes down to choosing the right AI agent platform.
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astera

Accounts Payable Automation Using RPA: How It Works

Aug 4, 2026 By Tooba Ali In Astera
If you've spent any time researching accounts payable automation, you've probably run into the term RPA — robotic process automation. It's one of the oldest and most widely deployed forms of business automation, and it still plays a real role in AP departments today. But it's also frequently confused with newer, AI-powered approaches to invoice processing. This guide breaks down what RPA actually does in accounts payable, where it holds up, and where it runs out of road.
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thoughtspot

Building in the Fast Lane: How AI and Internal Innovation Birthed AgentSpot

Aug 4, 2026 By Nicolas Rentz In ThoughtSpot
The journey to AgentSpot didn't start with a traditional product roadmap or a speculative “what if” from our R&D labs. Instead, it was born out of a growing friction within our own walls and became a "frontier R&D project" fueled by engineers exploring the internal potential of generative AI. When we first launched SpotGPT, our internal genAI application (similar to ChatGPT, but trained on internal resources) we saw immediate and massive adoption.
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thoughtspot

Introducing AgentSpot: Your Workforce, Multiplied

Aug 4, 2026 By Micheline Nijmeh In ThoughtSpot
Your team already knows when a campaign starts to underperform, when spend spikes, or when web traffic shifts. What you don't have is the speed to turn that insight into action. Someone still has to investigate, decide what to do, pull in the right people, and coordinate the work. That takes time. As a data-driven CMO, I've lived this every day. I can know the instant something changes in the data, but there's still a large gap between insight and action. Today, we're closing that gap.
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Jedify CEO On Building Enterprise AI That Understands Your Business

Aug 4, 2026 By Snowflake Inc. In Snowflake
Assaf Henkin, Co-Founder and CEO of Jedify, joins the Snowflake Summit 2026 News Desk to discuss how enterprises can build AI applications that truly understand their business context. Drawing from 15 years of experience building open source intelligence platforms, Henkin shares insights on balancing innovation with operations, staying true to founding principles while adapting to market changes, and how Snowflake's AI Data Cloud is enabling Jedify to reach new heights in the agentic AI era. Learn what's driving enterprise AI adoption and what founders should focus on for the back half of 2026.
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