Machine Learning

The most disruptive enterprise technology trends of 2017

Information Age rounds up enterprise technology trends that will drive disruption, transform businesses and define innovation in 2017 Digital transformation In a number of companies, digital management and strategy is now more important than information management, with some CIOs even reporting to the CDO. The new concerns of digital transformation, such as a brand focus [...]

The Future of Artificial Intelligence and Machine Learning for Financial Services

The Future of Artificial Intelligence and Machine Learning for Financial Services The reason for looking at these specific areas is to break some common misconceptions in order to really understand how far away we are from true AI and machine learning in business. Where are artificial intelligence and machine learning today? Computers complete different categories [...]

Why AI, Machine Learning And Big Data Really Matter To B2B Companies

While most of the attention for how artificial intelligence (AI), machine learning and big data can impact companies is focused on the business to consumer (B2C) space, business to business (B2B) companies need to pay attention or they risk their future success. Customers have the same expectations for a simple and easy buying experience whether [...]

Top 4 Machine Learning Use Cases for Healthcare Providers

Machine learning is generating a lot of excitement amongst healthcare providers, but what are some of the top use cases for these advanced analytics tools As healthcare providers and vendors start to show off more mature big data analytics skills, machine learning and artificial intelligence have quickly rocketed to the top of the industry’s buzzword [...]

3 Common Myths Around Machine Learning

While evolution in machine learning drives the current AI boom, the hype has caused certain misconceptions around the capabilities of these systems. Some of these misconceptions have risen to the level of myths. In this article, we discuss three such common myths around machine learning. Myth#1: Machines can learn autonomously Reality: Machine learning is orchestrated [...]

What’s The Difference Between Machine Learning And Artificial Intelligence?

Machine learning is a step up from coding. In the words of Bill Kish of Cogniac, you’re “programming with data,” such as images and video, not code. Essentially, it’s about building models. You select a training set, choose what reflects a positive or a negative for that set, then select a type of model to [...]

How companies can navigate the age of machine learning

To become a machine learning company,  you need tools and processes to overcome challenges in data, engineering, and models. Over the last few years, the data community has focused on gathering and collecting data, building infrastructure for that purpose, and using data to improve decision-making. We are now seeing a surge in interest in advanced [...]

By |Machine Learning|

How Artificial Intelligence Can Deliver a Personalized Banking Experience That Drives Customer Devotion

With the evolution of digital banking, there are fewer opportunities for face-to-face interactions with customers. Is it therefore becoming harder to drive customer devotion, attracting and retaining loyal customers in this era of digital self-service? Banks are investing huge amounts of capital in digital capabilities such as chatbots, artificial intelligence (AI) and open APIs.  According [...]

BBC will use machine learning to cater to what audiences want to watch

Today, BBC’s R&D team announced a five-year initiative to use machine learning to work out what audiences want to watch. To accomplish this, the team is partnering up with data scientists and experts from UK universities as well as media and tech companies based in Europe and internationally. The Data Science Research partnership intends to [...]

By |Machine Learning|

Machine Learning & Artificial Intelligence 101 For Executives

Machine Learning & Artificial Intelligence 101 For Executives There have been many "ages" throughout human history, most notably the industrial age and the digital age. Now, we have officially entered the age of artificial intelligence (AI). Within this AI age are many technologies, including machine learning and deep learning. These are fundamentally transforming and altering [...]