We frequently see projects these days with a requirement for mobile access to corporate technology platforms. For clarity, I am limiting my definition of “mobile” to cell phones. We hear three common drivers behind this requirement. The first driver is remote access (outside the office) to these platforms. Second is a changing employee population which […]
Posts Tagged ‘AI’
Quick Tips on How to Sell Your Data Science Model
During a five-week IBM training program, I learned a few things about how to sell data science models that I’d like to share it with you. The program was explicitly designed to educate and familiarize IBM’s business partners on how to expand relationships with clients; an introduction to emerging tools; and a glimpse into IBM’s future so […]
Innovate Data with Artificial Intelligence (AI) in Healthcare
Artificial intelligence (AI) has established a dominant disruption in transportation, marketing and financial services, among other divisions. In the realm of healthcare, AI is gaining momentum and has the potential to considerably change the industry, from the exam room to the back office to the supply chain. Forrester predicts, “70% of enterprises are anticipated to […]
Hang Up on IVR and Switch to a Cognitive Virtual Agent
If your call center is still relying on an interactive voice response (IVR) system, then you may not be delivering the customer service your consumers expect (Millennials in particular). Customers are becoming more digitally connected than ever. And with this hyper-connectivity comes their demand for unprecedented levels of 24x7x365 customer service. Customers want to engage […]
9 Stats Showing the Reality of Sales and Artificial Intelligence
Artificial Intelligence is becoming an increasingly present technology in our personal and professional lives and is a term sales teams are hearing and saying a lot more of lately. The days of laughing off “that Terminator-technology” are long gone as businesses and consumers alike are adopting it for the value it brings. How sales teams […]
Checking in on Artificial Intelligence Trends in 2018
It’s just past mid-year 2018. Back in December 2017 and January 2018, many pundits were making their annual predictions about artificial intelligence. In fact, my colleague Michael Porter wrote about AI predictions earlier this year. Rarely do I notice anybody checking in on those predictions to see whether they are reality or not. So I […]
Business Analytics with AI, ML and Blockchain
Artificial Intelligence is already being used to conextualize data and significantly reduce efforts to transform data sets for better insights. Adaptive intelligence is being infused into cloud applications by vendors like Oracle to drive data-driven intelligence based on Machine Learning algorithms at vastly increased Speeds. To quote Angela Zutavern, coauthor of The Mathematical Corporation “We […]
Data Strategy Framework: Handle with CARE
As Gartner predicted, artificial intelligence is emerging as a core business and analytical competency. Although information is still not recognized as a line item in a corporate balance sheet (data as an asset), it is still a strategic asset that can drive business value. Therefore, it’s important to have data strategy framework in place. On […]
Cloud Transcends Tech – New Strategy and Business Model for CEOs
Cloud adoption will need to be part of a key strategy for CEOs that are looking to grow revenue Q/Q, Y/Y, while cutting costs and taking the market share from their competitors. Kicking off the Modern Finance Experience 2018, Mark Hurd, CEO of Oracle hammered home as to why Cloud is not just a modern […]
What You Missed in Salesforce News – April 2, 2018
It’s impossible to keep up with all the developments and breaking news that surround Salesforce. Luckily, you’ve got us. Here are some of the top stories of the past week. Salesforce Shield Platform Encryption: Keeping Data Safe Customer information security is critical to Salesforce’s success. Your data is already very secure, but to meet the […]
Executive Introduction to Machine Learning – How To Make Predictions
In my previous article (see Executive Introduction to Machine Learning), I provided a concise, jargon-free introduction to what is machine learning. I basically described it as four steps: 1) Take data in; 2) Run it through an algorithm to make a prediction; 3) help the machine learn to make better predictions; 4) predict something based […]
Executive Introduction to Machine Learning
In a recent post, Michael Porter asked “What Does AI Have To Do With Strategy?” In discussing the transformational nature of AI, he suggested the very first question you should ask is, “What is AI and Machine Learning?” Lately, I’ve been doing a lot of research into machine learning to understand the concepts and deep […]