From Insights to Action - 2016 Marketing Analytics Conference

NIREN SIROHI, PH.D. | June 16, 2016

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Join me at the 2016 Marketing Analytics Conference (MAC16) June 23-24 at the JW Marriott in Austin, TX. The Direct Marketing Association will be hosting this year’s conference, From Insights to Action where attendees will hear about Promising and Practical Data Science Strategies from some of the world’s best known brands including: Coca Cola, NASA, Taco Bell, John Hancock, Mary Kay, Facebook, Kellogg’s, GE, Target and more.

Spotlight

ERT, Inc

ERT is a science and technology company that provides its clients with innovative services and solutions to their scientific, engineering, environmental, and information technology challenges. Headquartered in Laurel, Maryland, ERT boasts a nationwide presence, a staff of 500+ experienced professionals, and a proud 25-year history.

OTHER ARTICLES

KAIST Develops Technology for AI-based High-resolution Image Creation

Article | April 7, 2020

The Korea Advanced Institute of Science and Technology (KAIST) announced on April 6 that professor Yoo Hoi-jun and his research team have succeeded in developing a generative adversarial networks processing unit (GANPU) as an AI chip processing GAN with low power and high efficiency. The AI chip is capable of quickly processing arithmetic operations required for image synthesis and restoration on a mobile basis. The single chip is capable of realizing image recognition, inference, learning and determination with low power and high efficiency and is expected to contribute to the use of AI in mobile devices for more purposes.

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Predictive Analytics: Enabling Businesses Achieve Accurate Data Prediction using AI

Article | July 13, 2021

We are living in the age of Big Data, and data has become the heart and the most valuable asset for businesses across industry verticals. In the hyper-competitive market that exists today, data acts as a major contributor to achieving business intelligence and brand equity. Thus, effective data management is the key to accelerating the success of businesses. For effective data management to take place, organizations must ensure that the data that is used is accurate and reliable. With the advent of AI, businesses can now leverage machine learning to predict outcomes using historical data. This is called predictive analytics. With predictive analytics, organizations can predict anything from customer turnover to forecasting equipment maintenance. Moreover, the data that is acquired through predictive analytics is of high quality and very accurate. Let us take a look at how AI enables accurate data prediction and helps businesses to equip themselves for the digital future.

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DEEP THOMAS EMBEDDING DATA-DRIVEN CULTURE ACROSS BUSINESS WITH CUTTING EDGE INNOVATION

Article | February 24, 2020

A US$ 48.3 billion-corporation, the Aditya Birla Group is in the league of Fortune 500. Anchored by an extraordinary force of over 120,000 employees belonging to 42 nationalities, the Group is built on a strong foundation of stakeholder value creation. With over 7 decades of responsible business practices, Aditya Birla Group’s businesses have grown into global powerhouses in a wide range of sectors metals, chemicals, pulp & fibre, textiles, carbon black, cement and telecom. Today, over 50% of its revenues flow from overseas operations that span 36 countries in North and South America, Africa and Asia.The Group Data ‘n’ Analytics Cell (GDNA) is the Big Data and Analytics arm of the Aditya Birla Group created at its centre to strategize and partner with 18+ Group businesses across B2B and B2C domains to deliver on its strategic priorities through the power of AI. The company represents strong analytics and domain expertise drawn from the best-in-class talent from leading global and Indian businesses that leverage cutting edge tools and advanced AI algorithms built on a highly scalable and robust big data infrastructure to mine and act upon petabytes of structured and unstructured data.

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How can we democratize machine learning on IoT devices

Article | February 12, 2020

TinyML, as a concept, concerns the running of ML inference on Ultra Low-Power (ULP 1mW) microcontrollers found on IoT devices. Yet today, various challenges still limit the effective execution of TinyML in the embedded IoT world. As both a concept and community, it is still under development.Here at Ericsson, the focus of our TinyML as-a-Service (TinyMLaaS) activity is to democratize TinyML, enabling manufacturers to start their AI businesses using TinyML, which runs on 8, 16 and 32 bit microcontrollers.Our goal is to make the execution of ML tasks possible and easy in a specific class of devices. These devices are characterized by very constrained hardware and software resources such as sensor and actuator nodes based on these microcontrollers.Below, we present how we can bind the as-a-service model to TinyML. We will provide a high-level technical overview of our concept and introduce the design requirements and building blocks which characterize this emerging paradigm.

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Spotlight

ERT, Inc

ERT is a science and technology company that provides its clients with innovative services and solutions to their scientific, engineering, environmental, and information technology challenges. Headquartered in Laurel, Maryland, ERT boasts a nationwide presence, a staff of 500+ experienced professionals, and a proud 25-year history.

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