Forrester Total Economic Impact Report
Forrester predicts that, for artificial intelligence (AI), 2020 will be a year of less experimentation and more implementation, and as a result the companies that focus on...
IDC System Signature Whitepaper
By 2024, with proactive, hyperspeed operational changes and market reactions, artificial intelligence (AI)-powered enterprises will respond to customers, competitors, regulators,...
NVMe: Driving Changes in the Traditional M&E Storage Hierarchy
For those in the media and entertainment industry tasked to work with and produce content at such high fidelity, it is increasingly apparent that new technologies...
Deep Learning for Mobile: How to Use AI & Machine Learning to Secure Mobile Apps
Cybersecurity is the most comprehensive job when it comes to IT-related challenges. Because applications are exposed to multiple users and deal with huge amounts of data,...
eBook: Storage for AI: The Fast Track from Ingest to Insights
It’s no surprise that many organizations aren’t sure how to proceed and don’t have a clear understanding of how best to leverage AI/ML to their advantage. Growing an...
Aberdeen Webinar: Is Your Infrastructure Ready for AI?
Every organization and department is working on, or planning AI projects. Machine Learning frameworks, like TensorFlow, and solutions, like PowerAI Vision, make AI accessible...
The Forrester Wave – Cognitive Search, Q2 2019
Help your experts do better work in less time with AI search.
Learn why Forrester named IBM Watson Discovery as a leader in AI search in the 2019 Forrester Wave™:...
The Future of AI is flexible: IBM chief scientist Ruchir Puri on IBM Cloud Pak for Data
Experts estimate AI has the potential to add $15 trillion to the global economy by 2030. However, many industries are slow to adopt AI technologies because of challenges...
MIT Technology Review: How IoT & AI can transform engineering teams
Read the insights from MIT Technology Review around how engineering teams can use AI and IoT technology to cope with rising product complexity and accelerate innovation.
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MIT Technology Review: How IoT & AI can transform engineering teams
Read the insights from MIT Technology Review around how engineering teams can use AI and IoT technology to cope with rising product complexity and accelerate innovation.
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