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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. To know more, please feel free to schedule a personalized consultation with our experts.

Data 78
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Top 10 CPG Industry Trends For 2020

Acuvate

Using Big Data and Advanced Analytics. Retailers and CPG companies capture torrential amounts of data from transactions and also have access to a wide array of information from the media. Big Data and advanced analytics opens the floodgates of opportunities for CPG companies to use data to their benefit.

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Dr. Soo Beng Khoh

Innovation 360 Group

He is a change agent and experienced trainer in his expertise areas, where he frequently shares his knowledge as trainer, guest lecturer & keynote speaker at public events, institutions of higher learnings/universities and conferences. Internet-of-Things (IoT). Dr Khoh is a member of IEEE, IET, and IEM. Change Management.

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Data Science: Why and How do you Invest in Data?

mjvinnovation

A Data Science strategy aims to mine large amounts of structured and unstructured data to, among other things, identify patterns to help organizations control costs, increase efficiency, recognize new market opportunities, and increase competitive advantage. How do you start a Data Science project in your company?

Data 40
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Technology leads, innovation exploitation is lagging

Paul Hobcraft

This merging of cloud, big data, social, and the internet of things is becoming the new system of discovery according to some. Digital matters, in its raw innovating power and its potential business impact. I think digital is clearly a transformational phenomena across much of today’s existing business.

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Nine Questions CEO’s Should Ask About Innovation

Gregg Fraley

He’d asked me what I did and when I told him I was an innovation consultant, his eyebrows raised. Are ideas for new things encouraged and worked or are they barely tolerated? Is a failure truly viewed as a learning experience or as a career killer? “Tell me what I should be thinking about.” We were at a social event.

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Artificial Intelligence: A Question of Data

Daniel Burrus

and the vast quantity of data that China is capable of generating on a daily basis, has many wondering if the U.S. Data is the fuel that feeds A.I. The more data you have, the more A.I. can learn and adapt. Most feel it’s all about the quantity of data. The value and quality of data being used by A.I.