The IBM Win With AI Summit was a powerful event for IBM Business Partners and AI practitioners. Watch the video to learn what’s new with IBM Watson Studio and the all-new IBM Cloud Private for Data. If you’ve ever wanted one view of your customer or data management with strong governance built in, you’ll want…
Denis asks, “What is the big promise that AI holds when it comes to data? What types of solutions do you see emerging from this that will help marketers?” Look at the data science lifecycle. Every repeatable choice along this lifecycle has at least some portion which is a repetitive, predictable process. Where we’ll see…
Denis asks, “What existing marketing processes or tasks do you expect AI to help speed up or eliminate?” Some tasks will indeed be sped up. Others will be replaced entirely, and there’s a straightforward way to identify what will be replaced. Learn what tasks will and won’t be eliminated by AI. Watch the video for…
As part of IBM’s Win With AI Summit, we’re answering some of the most common questions about AI. Today, we tackle the most fundamental: how do we create an AI strategy? Watch the video to learn the three-part process and what you’ll need to succeed with an AI implementation. In NYC on September 13? Attend…
Melissa asks, “How can companies leverage data — their most valuable asset — as a competitive advantage?” As part of the IBM #WinWithAI Summit, this is a critical question. What are the uses of data? Data as the end product, for analytics and insights Data as the source for training machine learning models Data as…
Funts asks, “What’s got you most excited about the future of health and AI?” There are three times to look at. Present-day: acceleration, accuracy, and automation reduce administrative tasks so payers, providers, and patients can spend more time on what matters most Near-term future: deep learning and technologies like computational chemistry, unsupervised image classification, and…
As part of my work with IBM in the Win With AI Summit, one topic I’ve been asked to address is what technologies will impact AI strategies and rollout. Register for the IBM Win With AI Summit in NYC here. When we look at the data science lifecycle, we see that a healthy portion of…
Ashley asks, “Assuming everyone adopts AI what will separate finance professionals that are the most successful from everyone else? What will they do differently?” We review the core promises of AI, what AI is and isn’t good at, and what AI is bad at today with a focus on finance professionals. This is how to…
According to Gartner, 30% of all B2B companies will employ AI to augment at least one of their primary sales processes by 2020. Don’t wait for the future – start implementing now, with today’s technologies. Driver Analysis Prospect and lead qualification Better sales analytics Time-Series Forecasting Sales enablement Sales forecasting Revenue forecasting Text Mining/Natural Language…
In today’s episode, we review the 4 main challenges facing enterprises with data: Volume Veracity Variety Velocity AI is built on data; poor data leads to poor machine models, which leads to poor outcomes. What’s the solution? The Trust Insights 6C Framework for Data is what every company must implement to prepare for AI: Clean…
