Five focus areas for success in Advanced Analytics

March 15, 2018

As the analytics space continues to evolve at a rapid rate, Eliano Marques, Head of Data Science International at Think Big Analytics, shares his advice on how organizations can stay ahead of the curve. When it comes to advanced analytics, the question is no longer whether the technology will impact businesses, but to what extent and… Read More »

What are the prerequisites for a large-scale AI initiative?

March 14, 2018

Sentient Enterprise and Artificial Intelligence (Part 1 of 2) Over the last few months, I’ve had the chance to engage with customers and industry analysts about a range of topics in the field of Artificial Intelligence, and I’ve been struck by how effective the Sentient Enterprise is in addressing the most common questions and misconceptions… Read More »

Machine learning for Telcos 5G: a network of networks

March 13, 2018

According to GSMA Intelligence there are more than 8 billion mobile connections in the world today – a billion more than there are people on this planet. This is growing at a phenomenal rate, with over 25 billion networked devices expected by 2020, attributable largely to 5G and the internet of things (IoT). You only… Read More »

Let business teams ask “why?” to drive data science results with guided analytics

March 12, 2018

We’ve all heard the onslaught or experienced it first-hand. An inquisitive three-year old unleashing a salvo of, “Mommy, why is this?” “Daddy, why is that?” and “What is that thing?” My recent favorite twist to this line of inquiry happened when I overheard a brave and honest parent dare to admit, “I don’t know.” The… Read More »

Don’t let analytic bureaucracy dictate your pace

March 8, 2018

Stuck in analytic bureaucracy? In “You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Role” McKinsey’s Henke, Levine and McInerney recommend developing “Analytics Translators” who are professionals with a “working knowledge of AI and analytics [who] convey these business goals to the data professionals who will create the models and solutions.” To… Read More »

Analytics at scale: what data analysts need to know

March 7, 2018

With every technology company shouting “Big Data”, we are led to think analytics challenges can be solved simply by storing a whole mess of data. With current technology, storing large volumes of data is easy. It also provides absolutely no value. Value only comes from data when it is examined, manipulated, learned from, and acted… Read More »

Spend more time on analytics and less on data prep

March 6, 2018

What are the things keeping analysts and data scientists from productivity?  According to studies, it’s wrangling data. Vast volumes of data need to be sourced, collected, organized and cleansed to be useful in solving problems.  In an article by Forbes, it is estimated that about 80 percent of the time spent working with data was… Read More »

What is the definition of AI?

March 5, 2018

Finally, here we are. After four posts discussing the differences between machine learning and AI, and demonstrating that AI can live without machine learning (and vice versa), the time has come to define AI. Easy, right? Not necessarily… Let us first point out that there is no committee to decide which products constitute an AI… Read More »

How IoT Won The War

March 1, 2018

The Internet of Things (IoT) is making ‘things’ smarter by embedding sensors which transmit performance levels, continuously. By applying analytics to the sensor data, it will be possible to communicate remotely with ‘things’ to alter their state, and repair and prevent malfunctions. Which means ‘things’ manufacturers can spread their wings and become value-added service providers… Read More »