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…
As part of the upcoming IBM Win with AI Summit, I’m tackling some questions about how companies can make AI work for them. In today’s episode, we look at the journey to AI using the Trust Insights Enterprise AI Journey Framework: Data foundation Measurement & analytics Insights & research Process automation Data science Machine learning…
Sheri asks, “What is AI good at? What kinds of problems is it good at solving?” There are two sets of answers to this question. First, we need to know what AI delivers as an outcome: Acceleration of results Accuracy of results Alleviation of repetitive work Second, we look to understanding what we know and…
Monica asks, “How do I create good content for an industry I’m unfamiliar with?” I had a colleague in the PR industry who called this getting smart, fast, and she used the time-honored technique of reading and researching via Google, news sources, and social media subject matter experts. This is a time-tested approach that works,…
