
Upcoming AI Events in the Bay Area, April to May 2026: DataPhoenix Events Digest
Dmytro Spodarets·Apr 14, 2026
1:01:41
Dmytro Spodarets·Sep 18, 2026
1:02:51Tech Talks
Yogiraj Awati·Sep 17, 2026
1:17:55Tech Talks
Santosh Kumar Radha·Sep 17, 2026
48:04Tech Talks
Fabrizio Dimino·Sep 17, 2026
1:05:16Tech Talks
Rome Thorstenson·Sep 17, 2026
1:00:23Tech Talks
55:47Tech Talks
1:18:26Tech Talks
Reduce GPU memory use and training costs with 10 practical techniques, from LoRA and sequence packing to sharding and data selection.
Dmytro Spodarets·Sep 14, 2026
These 10 MLOps trends are worth watching in 2026 for their potential to improve agent reliability, evaluation, context management, inference efficiency, and deployment.
Dmytro Spodarets·Jan 5, 2026
At TechCrunch Disrupt 2025, Data Phoenix spoke with representatives of eight companies about AI compute, software development, cybersecurity, DevOps automation, on-device inference, and portable hardware.
Dmytro Spodarets·Nov 10, 2025Three lists, one email. Pick what fits — unsubscribe with one click.

Dmytro Spodarets·Apr 14, 2026




Dmytro Spodarets·Mar 14, 2025
Databricks has made Lakebase Search generally available on AWS and Azure, bringing vector, keyword and hybrid retrieval into its Lakebase Postgres service.

Google DeepMind's SynthID Bio adds detectable signatures to AI-designed proteins, but its wet-lab testing was narrow and deliberate tampering remains unresolved.

OpenAI said its America’s SBDC partnership plans to train about 150 local advisors and reach at least 1,000 small businesses in person.

DoorDash opened a waitlist for its limited-beta corporate connector, which lets authorized workplace AI agents build, place and track employee food orders.

Flow Engineering announced a $50 million Series B at a company-stated $750 million valuation to expand its AI-agent platform for hardware engineering.

IBM says 62% of 1,500 surveyed finance leaders have taken on enterprise technology or AI strategy duties, but only 6% call their finance organizations ready to use AI at scale.

Databricks says it gave more than 12,000 employees day-one access to new frontier models, then used per-user budgets, benchmarks, feedback and cost traces to decide within three days whether to promote them.

Scale AI detailed a reference architecture for building and evaluating agents in its platform, running them in customer Google Cloud projects, and making them available through Gemini Enterprise.