Every week, we talk about important data and analytics topics with data science leaders from around the world on Facebook Live. You can subscribe to the DataTalk podcast on iTunes, Google Play, Stitcher, SoundCloud and Spotify. This data science video and podcast series is part of Experian's effort to help people understand how data-powered decisions can help organizations develop innovative solutions and drive more business. To keep up with upcoming events, join our Data Science Community on Facebook or check out the archive of recent data science videos. To suggest future data science topics or guests, please contact Mike Delgado. In this week's #DataTalk, we talked with Kristen Hammilton, CEO & Founder of Koru, about the future of recruitment using predictive hiring. This is going to be a very exciting chat because we're talking about AI and how it's helping recruiters find the right candidates for jobs, and it's actually a fascinating field. Has to do with prediction, has to do with artificial intelligence, and I'm very excited to talk to Kristen Hamilton, who is the CEO and co-founder of a company called Koru, based in Seattle, and Kristen, great to have you on our show today. Kristen: Michael, it's really great to be here, thanks. Mike: So Kristen, can you kind of tell us about your journey that brought you into working in data science? I think every entrepreneurial journey starts with a problem that you've become impassioned with, that you really can't sleep well at night until you figure out how to solve. And the challenge that we initially started facing was actually the gap between education and employment.
Exari, the leading provider of enterprise contract management software, has announced a partnership with MongoDB. Exari's new AI-powered contract management platform generates large amounts of rich contract data, requiring powerful, reliable and flexible data storage. MongoDB is the leading, modern general-purpose database platform which provides the scalability and flexibility that users want as well as the querying and indexing that users need. End users need to know the terms and conditions in their contracts day-to-day and understand their rights, risks and obligations. Gaining insight into individual contracts and entire contract portfolios, however, has historically been resource-intensive and costly.
It began with a series of thought provoking topics; eliminating noise; driving faster data; successful data science by becoming boring. Eliminating Noise and AI for Compliance Amber Case of the MIT Media Lab talked about the noise, and the abundance of alerts that surround all of us. In our hotels.... High frequency content can boost salt and sweet flavors on airplanes (which is good) and on road trips (which gets you to eat more snacks). Her principles for sound design in products include: (i) Use better hardware that have better frequency ranges, (ii) Embed more information into sound (iii) Remove mechanical noises (example: Blendtec blenders) (iv) a lower level sound conveying information like Star Wars' R2D2 (v) allow us to convert sound to other modalities when required. Dinesh Nirmal of IBM starts with the question, "What is this guy smoking"?
In what ways is artificial intelligence leveraged to harm people? Currently most AI is used for purposes that are either beneficial to people, or not actively harmful. But any powerful tool can be abused, and we should expect increasing weaponization of AI. Social manipulation: Companies and organizations use big data to spread propaganda, influence elections and foment social discord via targeted marketing. Political actors like Cambridge Analytica and the Internet Research Agency have been prominent in this.
The site originally started as 2 regional job sites in Switzerland and the UK this year and now got merged into ai-jobs.net The focus lies on a simple (mobile-friendly) site with no fluff and simple but effective job ads, an easy (paid) submission process and a simple job alert feature. The search allows for filtering by region so job seekers can add some regional flavor to the result list. Hope you enjoy it - happy hiring!
Toptal, a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand, today announced the launch of its two new on-demand talent specializations to meet the rising demand for skilled artificial intelligence and data science engineers. Tapping into Toptal's private network of highly skilled software professionals, the new specialized service will connect organizations with freelance artificial intelligence and data science professionals who are experts in machine learning, deep learning, data architecture, and data mining. "Businesses across every sector are moving quickly to leverage the power of artificial intelligence and data science optimization.
The new service offerings will leverage Toptal's unparalleled network of global talent to help businesses staff artificial intelligence and data science projects Toptal, a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand, today announced the launch of its two new on-demand talent specializations to meet the rising demand for skilled artificial intelligence and data science engineers. Tapping into Toptal's private network of highly skilled software professionals, the new specialized service will connect organizations with freelance artificial intelligence and data science professionals who are experts in machine learning, deep learning, data architecture, and data mining. "Businesses across every sector are moving quickly to leverage the power of artificial intelligence and data science optimization. For many of them, access to high-quality talent is the critical hurdle," said Taso Du Val, Toptal co-founder and CEO. "With these service offerings, Toptal is providing businesses with the unique opportunity to quickly staff their AI and data science initiatives with elite talent. Our company was made by engineers for engineers, so we care deeply about matching our clients with experts who have the exact skills and real-world experience they need to realize their goals."
Futurists may delight in predicting a time when business decisions will be made entirely by intelligent algorithms, but today's innovative business executives are making nearer-term arrangements. They are finding ways to use big data analytics and artificial intelligence (AI) to help their employees address two persistent business challenges: providing faster service and making better sales decisions. In both cases, the new approach combines the best of machine learning with the best of human insight to produce better business outcomes. The power of that approach will be felt across a wide swath of the economy, including manufacturers, retailers, banks, insurance companies, real estate firms, utilities, transportation, and the oil and gas industry. Indeed, nearly any business where customer interaction or equipment service is key to success can benefit from this fast-developing concept.