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Responsible Data Science - technical & societal issues

12/2/2019

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Data science is an emerging discipline that offers both promise and peril. Responsible data science refers to efforts that address both the technical and societal issues in emerging data-driven technologies. Dr. Lise Getoor is a computer scientist, professor and research director of the UC Santa Cruz D3 Data Science Research Center and strategic partner of Omny IQ. She is well known for her theoretical work that integrates logic and probability to reason collectively and holistically about context in structured domains. In this video presentation, 

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Early adoptions for AIOps: Obtain Holistic View and Predictive Analytics

10/26/2019

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Omny IQ's AIOps blog
There’s strong interest in applying AIOps, which stands for Artificial Intelligence for IT Operations, as the forces of digital business transformation weigh in on large corporations. Today, many IT professionals believe that AIOps will lead to several strategic benefits. These include increased efficiency, faster remediation, reduced operational complexity, and importantly, improved user experience.

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** Celebrating 20 Years of Wi-Fi ** pioneer Dr. Alex Hills discusses Wi-Fi performance issues and the importance of measurements

9/15/2019

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Omny IQ Blog - Wi-Fi 20th Anniversary
20 years ago today (September 15, 1999) is the day Wi-Fi was officially introduced. Today everyone -- from our grandparents to our toddlers – uses Wi-Fi! Good or bad, it exists practically everywhere indoors, some places outdoors, and it is complemented by cellular LTE signals almost everywhere. Dr. Alex Hills, the author of this post, is our distinguished advisor at Omny IQ. He is a pioneer in Wi-Fi deployments and a renowned inventor and expert on wireless technologies. 

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AI - Apply Statistical Relational Learning in areas of high uncertainty and scale

8/13/2019

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by Jack Van Hel on Unsplash
Machine learning is powerful, and the results we see from deep-learning papers are typically impressive. But can we be confident enough in them to make business decisions that have real, monetary outcomes? For any type of isolated tasks, such as learning to detect a face in an image, or classify a credit card transaction as fraudulent or not, or classify a frequently rebooting device as defective, we can usually construct the relevant low-level features (e.g., pixels, filters, zip codes, vendors, reboots, URLs) and solve the problem using conventional machine learning techniques.

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View Problems, Collaborate and Resolve

7/10/2019

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Are you blind to what's happening in your installed base? Would you like to get the real, hard data from your beta test community?

It's time to instantly know where your connected services and products are having problems that affect your users’ connected experiences. And you need the tools to pinpoint the issues, collaborate with your extended team, and resolve them quickly.

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You can fight fires in a War Room, or you can get proactive with Omny IQ

7/1/2019

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Stressful hours at the War Room.........OR...get ahead with Omny IQ. 
It's 6:30pm, and you’re about to leave for the day. But messages start coming in, and Customer Support is scrambling with a sudden surge of end-user complaints. You come to know your flagship product has been failing to connect users and their applications to the Internet. 
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You get that dreadful thought of,
"
yet another series of late nights at the office!"

And the fear of the unknown, the lack of hard data, compounds your and your team's anxieties. 

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Trying to Reinvent Your Business? Start with Reinventing Your Products

6/15/2019

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by Eric Schaeffer, senior managing director, and David Sovie, and senior managing director, Accenture
Accenture
Is it sufficient to digitize business operations for higher efficiency? Or does the real – and much larger – business opportunity come with digitizing products, and with creating entirely new value propositions? Read on to find out why we recommend businesses shape their digital transformation by reinventing what they make.

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