James and I looked at something not terribly different from today's RPA (Robotic Process Automation), predictive analytics and rules to handle high-volume, low-risk decisions.
The whole field of decision-making and how, or if, we can assist it with analytics is pretty murky. This is a contentious point as promoters of analytics still insist on suggesting they are helping people by "getting the right information to the right person at the right time.
Analytics with Alison: Strengthening Transitional Play | NHL.com
So, is transition play in need of some clean-up for the Kraken and if so, what does the team need to be looking to do and who can help?
So, how do the Kraken do it? Let's start with zone exits using tracking data from AllThreeZones.com's Corey Sznajder.
Behavioral Analytics to Fight Identity Fraud | PYMNTS.com
Consumers have plenty to worry about when it comes to identity fraud, but organizations and businesses also must deal with an even more pernicious variety: synthetic identity fraud.
One recent study found that synthetic identity fraud cost FIs $20 billion in 2020, with the average synthetic identity bank account stealing between $81,000 and $97,000 before it was caught.
Planning and Analytics Manager | ReliefWeb
Position Overview : The International Operations department is responsible for cross-site planning and support for facilities, pharmacy, and supply chain.
Demonstrated success responding to a high volume of requests and ability to react to needs with a sense of urgency and a service-oriented mindset
Why Mutability Is Essential for Real-Time Data Analytics – The New Stack
Successful data-driven companies like Uber, Facebook and Amazon rely on real-time analytics. Personalizing customer experiences for e-commerce, managing fleets and supply chains, and automating internal operations all require instant insights on the freshest data.
To deliver real-time analytics, companies need a modern technology infrastructure that includes these three things:
Darktrace acquires attack surface analytics firm Cybersprint | ZDNet
Charlie Osborne is a cybersecurity journalist and photographer who writes for ZDNet and CNET from London.
Cybersprint says the platform provides an "outside-in perspective, similarly to how hackers see your brand."
Darktrace solutions are based on ML algorithms designed to make calculations through real-world data feeds. Cybersprint's platform will be integrated as a new module in Prevent and will be used to generate data for the Darktrace cross-domain Attack Path Modeling security suite.
Advanced Analytics with Microsoft Teams Apps - UC Today
Advanced analytics can mean the difference between exceptional productivity and disengaged employees for today's rapidly evolving teams.
Microsoft Teams, one of the top tools for collaboration in the modern world and a leader in the Gartner Magic Quadrant for UCaaS, has its unique approach to Advanced Analytics for business leaders, with a reporting section within the Teams admin centre.
CNIL Recommends Using US Analytics Tools Only for Anonymous Statistical Data | Sheppard Mullin
The complaint argued, and the CNIL agreed, that because of the way Google Analytics was implemented, there were not sufficient supplemental protection measures in place when transferring personal data to the US.
Following the earlier Austrian decision, Google indicated that to address the EDPB’s direction on “supplemental security measures” it had several security features that companies could put in place when configuring Google Analytics.
insideBIGDATA Guide to How Data Analytics is Transforming Healthcare – Part 3 - insideBIGDATA
When the average person imagines cutting-edge medical research, they picture doctors and scientists in white coats surrounded by chemicals, beakers, and specialized equipment.
This is no secret to people involved in the healthcare industry, of course. Administrators, physicians, researchers, and students are all aware that data analytics is in the process of transforming healthcare around the world.
Decodable raises $20M to grow its real-time analytics platform | VentureBeat
Before the pandemic, AI and analytics technology adoption was elusive in the enterprise, with Gartner estimating that it reached only 30% of employees in 2017.
According to IDC, one major reason for the poor success rate of data and analytics projects is the lack of stakeholder buy-in. Another is insufficient tools and data infrastructure.
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