Posts Tagged ‘machine learning’

Thrilling our clients with innovation and impact – it’s not just rhetoric. This belief is instrumental for our clients’ success. Earlier this year we announced the first class of Chief Strategists, who provide vision and leadership to help our clients remain competitive. Get to know each of our strategists as they share their unique insights […]

Consumers are digitally savvy, well informed, and more demanding than ever. Not investing in resources that digitally transform customer care will become a competitive disadvantage. This series explores six technology trends for delivering smarter and more strategic customer care. Trend #1: Analytics Help You Anticipate Customer Needs Data and analytics go hand in hand to […]

The adoption of machine learning (ML) is increasing at near-breakneck speed. As organizations seek innovative ideas on how to improve the business, Oracle Analytics Cloud with ML capabilities is leading the charge. With built-in drag-and-drop functions into visualizations and autonomous prediction execution, Oracle Analytics puts the power of machine learning in your hands. Join us […]

Welcome to 2019 where things take an interesting turn, or, materialize as predicated for so long. In a data-driven environment, it is no surprise that this year Information Executives (CIO, CDO, CTO, CAO) focus on the following topics according to IDG, Gartner, CIO, and Forrester: Trying to figure out ways to increase IT Budget to […]

Whether you think Facebook users don’t understand what information of theirs is subject to disclosure (user’s fault) or Facebook needs to provide more education and acknowledgement of risk to its users (Facebook’s fault), no one can argue it’s been a rocky year for the company as it works to regain user trust. In the rush […]

In the war of cloud computing, AWS is currently the undisputed leader but Microsoft Azure seems to be chipping away at AWS’ lead with every passing quarter. While Google Cloud offers impressive tools as well, it is struggling to keep pace with Azure. This could be traced to Microsoft’s longer tenure in the enterprise market. […]

At Gartner IT Expo, Michael Shanler focused on what technologies can transform life sciences. In doing so, he called upon a lot of existing research at Gartner including: 2018 Hype Cycle for Life Science Research and Development 2018 Hype Cycle for Life Sciences 2018 Hype Cycle for Digital Care Delivery 2018 Hype Cycle for Real […]

Business intelligence (BI) helps organizations transform their data into actionable intelligence and make smarter business decisions. But according to one Gartner survey, only about 30 percent of employees are using analytics. So how can enterprises increase adoption? Augmented analytics may be the answer. What is Augmented Analytics? The volume, variety and veracity of big data […]

Why fear change? Change is good and has developed the world into what it is today. Change partners with adaptation, to promote a new way of doing things. However, is change in the healthcare industry putting independent physicians at risk? With the increased usage of digital healthcare technology, will the independent physician still be able […]

Digital transformation initiatives should also consider the maturity, limitations, and appropriateness of artificial intelligence, machine learning, and robotics technologies. Again, look to other industries for insight. If you believe the automotive pundits, fully autonomous, driverless cars are only months away. Google and Tesla told us they would have fully autonomous cars by 2018; GM planned […]

Let’s be honest, when it comes to our health we all want prompt and personal care. As a patient, we want the cost to be low, and the feeling of empowerment to be prevalent throughout the experience. Our world is becoming increasingly connected through the development of technology. With these extensive levels of connectivity, the […]

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 […]

The average age of a company listed on the S&P 500 has fallen from almost 60 years old in the 1950s to less than 20 years old today. Innovative companies that are willing to embrace transformative technologies make the list today, while businesses that are hesitant to embrace change risk becoming obsolete. Thriving companies, innovators, […]

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 […]

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 […]

Over the past couple years several Machine Learning (ML) capabilities have made their way into Oracle Analytics Cloud (OAC). If you are using OBIEE or OAC and wanting to apply ML to your data, there is no need to look for an additional software to do that. There are several ways in which ML capabilities […]

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 […]

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 […]

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 […]

What will the future hold for data science and machine learning platforms? Most of you already saw Gartner’s perspective in their latest Magic Quadrant on the evolution of data science that was released at the beginning of 2018 and are familiar with the outcome. However, did you ever ask yourself why SAS, KNIME, RapidMiner, and H2O.ai became […]