AI-Based Career Mentoring For The Masses: When People Talk, Innovation Happens

Personalized career development is no longer a perk for the privileged few at the top. An intelligent mentoring app called Ellen is matching mentors and mentees from all levels of the organization. Launched by San Francisco-based NextPlay.ai, Ellen is popular with a growing number of major companies worldwide, including the United States and Asia. Unlike traditional manual mentorship tools, the machine learning algorithm generates better matches at a massive scale by factoring in numerous, individualized parameters.

For companies, mentoring can boost succession planning, diversity and inclusion efforts, and employee retention. Employees at one organization were 25 percent more likely to strongly recommend working at their company after six months of participating in the program. Another customer identified a multimillion-dollar business opportunity after Ellen linked a mentee in product development with the director of sales.

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Mission driven employee engagement — CariClub is using tech to bridge the gap between talent and nonprofits

Moving to the US when he was just twelve years old, from Saint Lucia, he worked hard through school and college, landing a coveted job on Wall Street. But for Rhoden, he was yet to find his true calling. “While working for one of the largest banks in the world was rewarding, it felt like something was missing, and I tried to fill the void by working harder, but it wasn’t the answer.”

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Women-Owned Mobile Startup Leads Microlearning Revolution

Serial entrepreneur, So-Young Kang, is reinventing how people learn, with a personalized, mobile experience. Lightyears ahead of yesterday’s content delivery training, the Gnowbe microlearning mobile platform represents Kang’s life work to make learning easy – for as many people as possible. Instead of participant headcounts or feedback scores, Gnowbe measures skills development based on someone’s demonstrable capabilities before and after training. One customer saw improvements of almost 30 percent in the sales behaviors of employees who participated in microlearning modules on Gnowbe.

Gnowbe is among the HR startups participating in the SAP.iO Foundry San Francisco, an accelerator for early-stage enterprise tech companies. Besides mobile microlearning, these startups are using AI-enabled recruiting, and development tools based on behavioral science.

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StellarEmploy is Helping Customers Hire Great Employees with Confidence

In the United States, 40% of the labor force is employed in hourly wage jobs earning less than $20 an hour. Although these jobs are the foundation of our economy, employers often face high turnover, reaching 100% annually. There is a clear disconnect in how hourly job candidates are being assessed and hired, leading to high job drop-out. This was a problem that seemed ripe for a technological and data-driven solution for the founders of StellarEmploy. StellarEmploy replaces traditional resume and screening questions with a mobile friendly survey that uncovers workers’ underlying preferences.

With StellarEmploy’s survey with 50 questions and an average completion time of 15 minutes, employers can learn applicants’ preference for teamwork compared to solo work, or multi-tasking compared to a more focused work environment. This enables them to understand the prominent characteristics of their workplace and different hourly job categories, all based on empirical data. Now, instead of just crossing their fingers and hoping a new hire stays past the critical 90 day mark, they have the raw materials to understand why a majority of workers fail to engage or perform in the first month.

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VivaStories: SAP & Energiency

Created in 2013, Energiency noted that industry accounts for 30% of global CO2 emissions, mainly due to the energy consumption of production sites. To better control this, the French startup has developed an artificial intelligence solution that allows plants to optimize their energy expenses.

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Modern Leadership Coaching For New Executives: We Wish We Had This Earlier

Sounding Board’s fast growth reflects HR’s fundamental transformation. Companies are rethinking how technology can drive the people function for leadership development. Meantime, digitally savvy employees in far-flung locations are comfortable sharing personal challenges on trusted platforms. The startup uses a proprietary Sound Coaching methodology, assigning coaches to executives based on a six-point matching process. Sounding Board has a 95 percent success rate on first matches to date. The method also collects feedback from managers, peers and others regarding development areas for the executive, aligning information with the company’s goals and values.

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Mother’s Wish Spurs Childhood Friends to Pioneer Autism Talent Pool Startup

The power of neurodiversity is super-personal to the co-founders of Daivergent Inc., a cloud-based startup that connects people on the autism spectrum with employers that need their unique skills in a data-driven world. Daivergent is one of eight startups participating in the SAP.iO Foundry New York, an accelerator for early-stage enterprise tech companies building solutions that incorporate business beyond bias or drive sustainability.

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U First Capital will invest with DowDuPont division in IoT and AI

U First Capital is bringing together big companies, venture capitalists, startups, universities, to to explore investments in internet of things (IoT) and artificial intelligence startups. U First Capital’s advisory board has venture capitalists and executives from Fortune 500 companies including SAP’s  Ram Jambunathan (managing director, SAP.io venture capital fund) and Manju Bansal (vice president, SAP).

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