AI Briefing
Recent developments in AI include the use of ChatGPT for automation, the adoption of AI-native workflows, and the importance of cybersecurity and proactive cyber defense. Additionally, new models and tools, such as IBM Time Series Models on Confluent, are being introduced to enable real-time intelligence and improve business operations.
Model releases
ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT
ATV Big Air Tour used ChatGPT to automate tasks, saving 7 hours per week on event listing reviews and turning 3 days of merchandise inventorying into 3 hours.
Why it matters
This matters for operators and executives because it shows how AI can reduce manual work and increase efficiency in various industries.
ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT
Model releases
Real-Time Intelligence with IBM Time Series Models on Confluent
IBM Time Series Models on Confluent enable real-time intelligence with zero configuration, built-in governance, and efficiency, providing a complementary portfolio of time series foundation models for forecasting, anomaly detection, and optimization.
Why it matters
This matters for operators and executives because it provides a solution for real-time intelligence, enabling businesses to make data-driven decisions quickly and efficiently, and improving their overall operations and competitiveness.
Real-Time Intelligence with IBM Time Series Models on Confluent
Summaries of publicly reported developments, with links to originals. Not original reporting. Minor product updates and unverified rumors are excluded.