Live from #GartnerDA | The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore with Svetlana Sicular, Gartner VP Analyst: gtnr.it/3JOkYPF
About this session: Understanding key trends influencing the future of #ML and #DataScience is key for modern enterprise success. Svetlana shares how leaders should plan for future #AI initiatives and improve their current AI solutions: gtnr.it/3JOkYPF#GartnerDA
#DataScience and #ML is shifting from custom-tailored to ready-to-wear. The fields are going from exactly fitting the business to needing customization for each business function. #GartnerDA
By 2025, 55% of #IT will adopt data ecosystems, consolidating the vendor landscape by 40%, thereby reducing cost while reducing choice. #GartnerDA
By 2025, more than 55% of all #data analysis by deep neural networks will occur at the point of capture in an edge system. #GartnerDA
By 2025, the concentration of pre-trained #AI models among 1% of AI vendors will make responsible AI a societal concern. #GartnerDA#GenerativeAI
By 2025, 70% of enterprises will have operationalized #AI architectures due to the rapid maturity of AI orchestration platforms. #GartnerDA#GenerativeAI
By 2024, 60% of #data for #AI will be synthetic to simulate reality, future scenarios and derisk AI. #GartnerDA#GenerativeAI
By 2027, 50% of developers will use #ML-powered coding tools, up from less than 5% today. #GartnerDA#GenerativeAI
Through 2026, more than $10 billion will have been invested in #AI startups that rely on foundation models. #GartnerDA
By 2027, data science orgs will cut #AI technical debt by 70% by using simulation platforms and technologies to manage complexity of AI systems. #GartnerDA#MachineLearning
Live from #GartnerDA | 5 Ways to Enhance Your Data Engineering Practices with Robert Thanaraj, Gartner Director Analyst: gtnr.it/3JOkYPF
About this session: Analytics relies on a successful data foundation; it must be backed with the right data and processes. Robert explores 5 ways to enhance your #DataEngineering practices: gtnr.it/3JOkYPF#GartnerDA
#DataEngineering is a critical skill in high demand amongst employers with a 7.5% increase in demand. #GartnerDA
Machine customers aren’t just coming — in a few places, they are already here. Follow along 👇 to see how you get can ready to take advantage of this trillion-dollar opportunity 💰 #MachineCustomers#AI
➡️ In our latest book on machine customers, we anticipate and unpack key changes — and how your organization can tackle them 💡 #MachineCustomers#AI
About this session: What #data and #analytics trends are on the rise in 2023? Gareth explores these trends and how they will allow orgs to accelerate change, drive innovation and transform society. gtnr.it/3JOkYPF#GartnerDA
First, Gareth examines the differences between trends, changes and blips. Take a look ⬇️ #GartnerDA
About this session: Within a #recession, orgs will be desperate to save every cent and penny they can. Adam will explore how #analytics can help make optimal saving decisions. gtnr.it/3JOkYPF#GartnerDA
Live from #GartnerIO | Mission (Nearly) Impossible: Attracting and Retaining IT Talent with Mark Margevicius, Gartner VP Analyst. Follow along for key #GartnerInsights ⬇️
Why is finding, attracting and retaining #talent so difficult in 2022 for I&O leaders? #GartnerIO
"1 in 3 employees are looking for jobs. For every employee in tech looking for a new role today, there are about 10 open roles for them to apply to. You need to be competitive." #GartnerIO#ITtalent#IO
Live from #GartnerIO | Kick Your Infrastructure-as-Code Journey Into High Gear with Chris Saunderson, Gartner Sr Director Analyst. Follow along for key #GartnerInsights ⬇️ #IaC
Gartner predicts that by 2025, 70% of organizations will complement continuous delivery of applications with continuous #infrastructure#automation to improve business agility, which is a significant increase from fewer than 20% in 2021. #GartnerIO#IaC