How AI and recruiting go hand in hand
Artificial intelligence is having a real and serious impact on the HR industry, so it’s no surprise that some of the most innovative AI-solutions providers will be part of the HR Tech Conference and Expo (Oct. 1-4 at the Venetian in Las Vegas).
Companies like AllyO (Booth 2600) and Socrates.ai (Booth 2533) head a list of innovators that also includes Eightfold (Booth 2522), Leena (Booth 2328), Mya Systems (Booth 817) and Tara.ai (Booth 1111).
Recruiting-solutions provider AllyO, for example, is the most-funded and highest-valued AI for HR company worldwide, as it has partnered with 15% of Fortune 50 companies to automate talent acquisition and management. Backed by investors such as Google, SAP, Randstad, Bain and Cervin Ventures, AllyO’s “conversational AI” offers regular updates, analytics and notifications when “human intelligence” is necessary. It engages with talent through texting, website chatboxes, WhatsApp, voice and email.
Socrates.ai uses artificial intelligence and natural-language processing to provde an experience vastly similar to consumer-facing technologies. According to Randy Womack, the firm’s CEO, its AI solutions give organizations the opportunity to provide a single point of entry for employees to securely access enterprise systems of record like Workday, Kronos, SAP SuccessFactors, and SMS or other messaging platforms using a conversation methodology and AI technology.
Womack has served as CEO at Aasonn, COO at Castlight Health, CIO at SuccessFactors and Digital River and as a Fast Forward Partner at Greylock Partners. He also helped take three of these early-stage companies to the public markets, and has held positions at Oracle, Xerox and Dell.
In this session, Dmitri Krakovsky, vice president of Google, will discuss how AI and machine-learning solutions are becoming increasingly common in the HR-software industry. Krakovsky is sure to talk about Google’s AI Principles and Responsible AI Practices for software systems. To support an attendee’s software-vendor-selection journey, this is a great session for understanding best practices that address considerations unique to machine learning, such as using human-centered design, the potential limitations of your data sets and models, and how to test and monitor systems post-deployment.