Blog Posts | Joshua Berkowitz

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FlowState: IBM’s Lightweight Powerhouse for Flexible Time-Series Forecasting

Accurately predicting future trends from historical data has always been a complex challenge, especially as real-world datasets rarely conform to a single, predictable pattern. IBM’s FlowState model h...

AI forecasting FlowState foundation models IBM Research machine learning state-space models time-series

Sep 30, 2025

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How IBM Research Is Shaping the Future of Algorithm Development

Algorithm development is entering an exciting phase as quantum computing and artificial intelligence (AI) begin to blend with traditional high-performance computing. IBM Research is using its extensiv...

algorithms artificial intelligence high-performance computing IBM Research linear algebra optimization quantum computing stochastic processes

Sep 13, 2025

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AssetOpsBench: Industrial Agents Meet a Real-World Benchmark

Industrial assets do not fail neatly; they fail in ways that force engineers to pull signals from sensors, recall failure modes, and translate insights into work orders. AssetOpsBench is IBM's open-so...

AssetOpsBench benchmark IBM Research industrial AI multi-agent systems

Sep 6, 2025

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Github Repos

AgentOps Observability for Autonomous AI Agents

As organizations race to unlock the promise of AI agents for complex automation, a crucial question emerges: How can we be sure these autonomous systems are behaving as intended? While the potential f...

AgentOps AI agents AI analytics automation enterprise AI IBM Research observability OpenTelemetry

Aug 30, 2025

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IBM’s AgentOps Brings Observability to AI Agents

AI agents are transforming industries by automating complex workflows and tackling tasks that once required human expertise. With generative AI, these agents are more autonomous than ever, independent...

AgentOps AI agents automation enterprise AI IBM Research observability OpenTelemetry

Aug 27, 2025

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