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Advanced Analytics | Artificial Intelligence | Data Management
David Downing 0
How to rebuild citizen trust & unlock the power of AI

According to the Organisation for Economic Cooperation and Development (OECD), “service performance, citizen satisfaction and public trust are closely connected. Yet how can governments overcome citizens’ declining levels of trust in the way that their data is collected and used in order to improve service accessibility and quality? It’s not difficult

Advanced Analytics | Machine Learning
Susan Kahler 0
Four machine learning strategies for solving real-world problems

There are four widely recognized styles of machine learning: supervised, unsupervised, semi-supervised and reinforcement learning. These styles have been discussed in great depth in the literature and are included in most introductory lectures on machine learning algorithms. As a recap, the table below summarizes these styles. For a comprehensive mapping

Fraud & Security Intelligence
Tony Ashley 0
Will the decline in the high-end smartphone market offer a ray of hope to telcos?

Could cheaper, entry-level smartphones offer some respite to telecommunication companies, reducing their losses due to unscrupulous customers? For the first time in seven years, Apple has been knocked off the #2 spot for worldwide smartphone sales by Chinese colossus Huawei. The Q2 2018 figures come from IDC, illustrating the high-end

Advanced Analytics | Customer Intelligence | Data Visualization
Suneel Grover 0
SAS Customer Intelligence 360: Visual forecasting, traffic acquisition, and digital media

Every brand offers a digital experience for a reason. But to achieve on your mission, raising awareness and attracting visitors through online media is critical. No visitors? Game over. Let’s dive into a business case using website visitor data to sas.com. Suppose that a manager asks: What did our web

Analytics | Customer Intelligence
Greg Heidrick 0
Retailers: is your customer experience strategy working?

Smart retailers know that omnichannel customer experience isn't just about marketing anymore.  It’s about bridging all your digital and physical channels to recognize customers wherever they are, collecting data and understanding the retail customer’s purchasing journey. By taking customer data, product data, and supply chain data - and applying predictive and prescriptive

Artificial Intelligence | Machine Learning | Programming Tips | Risk Management
Sian Roberts 0
Deep learning for numerical analysis explained

Deep learning (DL) is a subset of neural networks, which have been around since the 1960’s. Computing resources and the need for a lot of data during training were the crippling factor for neural networks. But with the growing availability of computing resources such as multi-core machines, graphics processing units

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