Artificial Intelligence How To Machine Learning 
CIO
NOVEMBER 1, 2024
The world has known the term artificial intelligence for decades. When considering how to work AI into your existing business practices and what solution to use, you must determine whether your goal is to develop, deploy, or consume AI technology. Today, integrating AI into your workflow isn’t hypothetical, it’s MANDATORY.
The Crazy Programmer
DECEMBER 25, 2021
Artificial Intelligence is a science of making intelligent and smarter human-like machines that have sparked a debate on Human Intelligence Vs Artificial Intelligence. Will Human Intelligence face an existential crisis? Impacts of Artificial Intelligence on Future Jobs and Economy.
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TechCrunch
MARCH 31, 2021
We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” Snehal Kundalkar is the chief technology officer at Valence. She has been leading Silicon Valley firms for the last two decades, including work at Apple and Reddit.
Henrik Warne
MAY 19, 2020
I really enjoyed reading Artificial Intelligence – A Guide for Thinking Humans by Melanie Mitchell. The author is a professor of computer science and an artificial intelligence (AI) researcher. I don’t have any experience working with AI and machine learning (ML). ” (page 69).
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Download this guide to find out: How to build an end-to-end process of identifying, investigating, and mitigating bias in AI. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models.
CIO
NOVEMBER 14, 2024
The problem is that it’s not always clear how to strike a balance between speed and caution when it comes to adopting cutting-edge AI. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time.
CIO
APRIL 12, 2023
Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Download the report to gain insights including: How to watch for bias in AI. How human errors like typos can influence AI findings. Why your organization’s values should be built into your AI.
Advertiser: Data Robot
You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.
Speaker: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! How you can leverage innovations in technology and machine learning to improve your customer experience and bottom line.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged. This includes how to: Obtain an overview of existing AI/ML technologies throughout the DevOps pipeline across categories.
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