Data cloud provider Snowflake aims to provide ABB startup accelerator firms with technology and expertise to accelerate their products’ time to market.
Search Results: AI/ML (86)
After attending the HIMSS 2023 Global Health Conference and Exhibition last week, Toni Witt recaps his top takeaways from the big healthcare industry event.
Bob Evans offers highlights from his one-on-one interview with Workday co-CEO Aneel Bhusri, who discussed the rise of AI/ML, his new role, and customers.
Doc Vaidhyanathan, CPO/CTO of Compliance Technologies, IBM, and Utpal Mangla, General Manager of Industry EDGE Cloud; IBM Cloud Platform, IBM, discuss how the cloud should be considered within the manufacturing industry.
Many organizations struggle to effortlessly embed cutting-edge AI into applications. Additionally, they need to streamline their ML processes. Abacus.ai is focused on equipping companies with the solutions for their AI/ML needs.
According to Hillery Hunter, VP & CTO at IBM, cloud is the primary vehicle for adopting artificial intelligence and machine learning
Machine Learning/Artificial Intelligence in Power BI consists of clicks not code.
The session will step thru the features added to Dataflows to utilize the ETL built into PowerQuery. The analytics retrieved from this features helps with the necessary data cleansing and preparation needed for a model. Called AutoML, this option enables the data prep integrated into a model for reporting in Power BI. All is done within Power BI and skills already possessed by the analyst. Model quality and visibility is available through these steps while creating a ML in an awesome reporting tool.
Session Level: Advanced
Google Cloud’s ecosystem of advanced AI technologies and industry partnerships empowers businesses to drive productivity, innovation, and growth through strategic applications of GenAI, data management, and security.
AI Data Cloud customers should be able to hyper-personalize marketing campaigns, improve customer journeys, and increase ops efficiency.
ROI metrics are crucial for ensuring effective use cases in generative AI, as they help prevent exploration fatigue in enterprises by tying initiatives to measurable business outcomes.
Google Cloud executives explore the impact of generative AI, including the role of openness and flexibility in their AI stack to drive innovation and growth within their ecosystem.
Dr. Fei-Fei Li, a Stanford professor and co-director of the Human-Centered AI Institute, is a leading AI innovator known for her work on the ImageNet project, AI ethics, and promoting diversity through AI4ALL.
In addition to its financial commitment, AWS is providing startups with access to the same AI services and chips that industry leaders use, leveling the playing field.
As innovative startups develop more use cases for GenAI, the banking industry has been exploring the AI ecosystem, especially for customer-facing workflows.
Discover our 5 data products to watch — from Couchbase, Gathr, Microsoft, Snowflake, and Teradata — and how they can support your company’s AI strategy in 2024.
The AI Index Annual Report takes all the innovation, funding and solutions featured since inception of the AI Index Report in July into a comprehensive analysis.
Latest innovations from SingleStore deliver real-time AI for search, compute, data analysis. and software development functions.
Study commissioned by Automation Anywhere shows customer recognition of the need for AI and generative AI in automation initiatives.
Automation Anywhere embraces generative AI as a means to make its automation tech more democratic and to accelerate outcomes.
Bill Doerrfeld explains how AI is improving endpoint threat detection and accelerating response times.