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3 keys to moving toward white-box, explainable AI

10:00am PST Wednesday, January 29th, 2020

With black-box AI, people are refused or given loans, accepted or denied university admission, offered a lower or higher price on car insurance, and more, all at the hands of AI systems that usually offer no explanations. In many cases, humans who work for those companies can’t even explain the decisions.   That’s why white-box AI is now getting heaps of attention. But what does it mean in practice? And how can businesses start moving away from black-box systems to more explainable AI?    We’ll delve into the three key components needed for white-box AI success: more collaborative data science, involving all teams from lines of business through IT; trust in data at all levels, including tools that can be used to increase transparency in data processes; and the role of education and the democratization of data.    And we’ll address why white-box AI brings business value in the first place and how it’s a necessary evolution for AI. Not only do customers care about explainable results of AI systems, but internally, white- box AI is less risky. Don’t miss this VB Live event on how to move towards explainable AI.  REGISTER FOR FREE Key Takeaways:   + How to make the data science process collaborative across the organization  + How to establish trust from the data all the way through the model + How to move your business toward data democratization Speakers: + Triveni Gandhi, Data Scientist, Dataiku + David Fagnan, Director, Applied Science, Zillow Offers + Rumman Chowdhury, Global Lead for Responsible AI, Accenture Applied Intelligence + Seth Colaner, AI Editor, VentureBeat

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The enterprise AI conundrum: Build or buy?

10:00am PST Tuesday, February 18th, 2020

It’s do or die time: According to Gartner, the global business value from AI leapt by 70 percent last year, to $1.2 trillion, and it will triple to $3.9 trillion in 2022. So enterprises interested in getting on the AI train should jump now -- before you lose some major competitive advantages. Of course, the biggest challenge for enterprise companies is figuring out the build versus buy question. There’s the build-in-house model of AI implementation, with open-source toolkits and expensive, but essential new hires. The number of startups offering full-service consultation, with set-up and service is proliferating, but who do you choose, and what do you pay for? And somewhere in between those options there’s the artificial intelligence as a service (AIaaS) approach — and again, the field of vendors is crowded with options. There’s no easy, one-size-fits-all answer — but there are experts with real insight into how to identify your business needs, and where to get started implementing AI in the most cost-effective, profitable way possible for your enterprise. To get up front and personal with pros in the trenches now, register now for this VB Live event! You'll learn: *How to identify your AI needs *How to identify your decision criteria *The pros and cons of build and buy, and the best situations for each *How to get a handle on the true costs of both build and buy

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Want your sales teams to always be closing? Adopt AI

10:00am PDT Wednesday, March 18th, 2020

Sales leaders are continually on the hook to make the current quarter outperform the last, and now AI and machine learning offers brand new ways to improve workflows and conversion rates. Artificial intelligence can increase your lead and appointments by fifty percent, reduce new rep ramp time by 30 to 60 percent, and increase win rates by 10 percentage points. It can ensure a rep’s time is all impact, all the time, by automating tasks, highlighting conversation best practices, and slashing whats essentially downtime by 40 percent — and even initiate contact with leads, qualify them, follow up, and sustain them. Leaving sales reps the time and the primed field to close the deal. AI and machine learning technologies just keep maturing, making it easier — and smarter than ever — to plug in to a new way of doing business. To learn more about how early adopters have transformed their sales processes and enjoyed enormous gains in return, don’t miss this VB Live event! Register for free now! Attend this webinar and learn: How to simplify tasks that take up too much of sales' time *How AI will improve forecasting accuracy *How AI can identify coaching themes from meetings based on what top reps do better than others *How AI can identify which clients will be easiest to both up-sell and cross-sell *How AI can identify best pricing and discounts for individual clients to avoid leaving money on the table *The leading technologies to implement AI for sales acceleration Speakers: *Stewart Rogers, Analyst At Large, VentureBeat More speakers coming soon!

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How AI is transforming enterprise analytics

10:00am PDT Thursday, April 2nd, 2020

Enterprise analytics will trend toward a $70 billion market in 2019, now that business users everywhere are demanding immediate, universal access to data and reporting. With the advent of AI, data access and accuracy are being improved even more. But AI also brings with it responsibilities around governance, privacy and protocol. So on one hand, AI is helping prepping clean, rich data -- for example auto-completing or correcting data where it does not exist or is wrong, or even auto-suggesting reporting dashboards, equipping decision-makers to understand what reports to follow and what the data is telling them. On the other hand, this speed and cornucopia that AI provides brings with it a new urgency to make sure that data is all safe, especially given heightened attention across industries to concerns around privacy, bias, and fairness. To learn more about how Ai is transforming enterprise analytics, don’t miss this VB Live event! Register here for free. Attend this webinar and learn about: *The importance of clean, rich data and how AI is helping this *Why AI dashboards will replace KPI dashboards *How AI and analytics approaches differ across devices -- with mobile being so much more meshed within the Internet of Things *How AI and analytics quickly surface problem areas in customer strategies and allow actionable insights in real time *The importance of clearly-defined questions in creating AI analytics dashboards Speakers coming soon!

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