Data mining News
March 23, 2018
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
March 21, 2018
Channel 4’s hidden-camera exposé on data firm Cambridge Analytica has made familiar faces of the puppeteers of democracy who wished to remain invisible, but we’re glad to meet them. Not since the ...
July 19, 2017
The technical lead on OpenText Magellan offers some insight into how the company's newest tool came together and how it can be used for fraud detection, CRM and more.
June 07, 2017
As Trump negates regulations against mining of customer data, consumers are mixed when it comes to trusting AI to act on those insights, Pegasystems research shows.
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Anil Nanduri, VP at Intel's drone group, discusses the way drones use is disrupting digital business processes and the CIO's role in developing an organization's drone plan. Continue Reading
Process mining software is a type of analytics software that mines the event logs of enterprise applications for trends and patterns that can help improve understanding of the processes and make them more efficient. Continue Reading
Creating a successful data science program enables you to look deeper into your organization's data for analytics uses. Take this quiz to see how much you know about the data science process. Continue Reading
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Contextual communications within contact center services can improve customer engagement. New products from Oracle and TTEC aim to ease the exchange between customers and agents. Continue Reading
In his book, Schneider Electric's EcoXpert program global vice president decodes how IoT digital transformation strategies differentiate winners and losers. Continue Reading
The ability for businesses to use 5G wireless networks is closer to becoming a reality as carriers continue to deploy 5G trials across cities in the U.S. and globally. While the technology that promises faster broadband speeds and enhanced data capacity is still in precommercial stages, 5G wireless networks are expected to transform how business is conducted around the world.
In this issue of Network Evolution, find out how enterprises are exploring of the possibilities of 5G wireless networks and how they can prepare for them.
Beyond 5G wireless networks, this issue looks at software-defined networking, and network managers share their reasons for choosing smaller SDN vendors instead of major providers like Cisco or VMware. A variety of software-based networking options are attracting enterprises that want to start their SDN evolution.
In addition, the ongoing availability of new business collaboration tools and features offers end users multiple options to choose from, which can lead to overlapping features. Enterprises are faced with similar applications for things like email, messaging, video or conferencing, and IT managers have begun exploring options to consolidate these tools into a single platform. Here we look at best practices to develop a plan to help deploy unified communications (UC) tools and improve collaboration across the enterprise.
Finally, in this month's Subnet, see how Durham County, N.C., is using network automation to create an efficient, seamless network experience for IT managers and users.Continue Reading
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CRM for today's businesses means AI chatbots, data mining, marketing personalization and equipping call centers to handle the many channels available to customers. Continue Reading
Through clever and effective use of telemetry data, AI and machine learning, MS foils coin mining in a big way in Russia, Turkey and Ukraine. Continue Reading
Businesses spend millions of dollars to collect, mine, prep and analyze data to gain an edge in the marketplace. Yet, they have a hard time determining big data's actual value. Continue Reading
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Hackers were able to exploit a Telegram vulnerability to launch cryptomining malware. Expert Michael Cobb explains how they were able to do so and how to prevent similar attacks. Continue Reading
The difference between traditional data governance and rules surrounding the mining of customer data is an extra layer to prevent the 'stalker effect' that turns away business. Continue Reading
The challenges encountered in deriving business benefits from big data are huge, but so are the rewards. Hadoop and related technologies are easing those challenges to the point where companies are willing to graduate from experimental to full-blown big data analytics deployments. Still, the march toward that goal can be long and arduous, and not just from a technological and architectural standpoint. Before taking the plunge, big data users, including data scientists, managers and evangelists, are faced with the sometimes monumental task of justifying big data's return on investment to business executives focused on competition, profit margins and allocation of funds. "For a lot of organizations like ours, big data has not yet become a core foundation of running the business," said Beata Puncevic, director of analytics, data engineering and data management at Blue Cross Blue Shield of Michigan. Yet, actionable insights gained from big data analytics can be indispensable in driving revenue, reducing costs and developing new products.
This handbook on big data analytics examines the trials and tribulations of big data users who are on the front lines, devising and implementing partial and full-blown applications. In the first feature, editor Craig Stedman interviews battle-tested IT and analytics warriors from Blue Cross, Macy's and Progressive Insurance who reveal the business challenges in justifying the worthiness of big data applications. In the second feature, Stedman explains how real-time big data analytics is helping companies like Comcast and eBay to move quickly on massive amounts of incoming information. And in the third feature, reporter Ed Burns spotlights the decisions at Neilsen and Nasdaq to run or not to run big data systems in the cloud.Continue Reading