Mon.May 13, 2019

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IoT failures and the trust in technology

CONTACT Software

At the beginning of April this year I was at the building IoT in Cologne. At the conference, which was organized by heise developer, iX and d.punkt publishing house, everything revolved around applications for the Internet of Things (IoT) and Industry 4.0 in lectures and an exhibition. Together with my colleague Yang Zhong, I was able to present modern user experience concepts (UX) for IoT solutions in a lecture.

IoT 40
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Big Data for Business: A Requirement for Today’s Business Analytics

David Menninger's Analyst Perspectives

Organizations now must store, process and use data of significantly greater volume and variety than in the past. These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.

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How AI Will Change Marketing (and Marketers)

Dataiku

It's no secret that introducing data science, machine learning, automation, and (eventually) AI into the world of marketing will be a critical factor to success. Yet it also means a fair bit of change not only at the tactical and organizational levels, but also at a personal level with the skills marketers will need to have to execute. But it doesn't mean all marketers need to become data scientists overnight - instead, the answer is collaboration.

Marketing 104
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What is the BYNET and Why Is it Important to Vantage?

Teradata

Carrie Ballinger reveals the frequently under-appreciated component within Teradata Vantage, the BYNET.

IT 81
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Predictive Analytics Use Case: Customer Churn Analysis!

Smarten

Every business understands the importance of acquiring and sustaining its customer base. In a competitive, global economy, even the smaller local businesses can lose customers to competitors on the other side of the world. The cost of acquiring a new customer includes marketing and advertising, resources and personnel, customer support, search engine optimization and more.

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Metadata Management Means Different Things to Different Organizations

Octopai

All modern organizations of any size live and die by their data and the processes surrounding that data. Processes can include how data is: – Acquired – Organized – Stored – Used to gain insights/make tactical/strategic decisions …and more. Many companies now struggle with their data because traditional approaches to managing it are increasingly inadequate.

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IoT failures and trust in technology

CONTACT Software

At the beginning of April this year I attended the building IoT in Cologne. At the conference, which was organized by heise developer, iX and d.punkt publishing house, everything revolved around applications for the Internet of Things (IoT) and Industry 4.0 in lectures and an exhibition. Together with my colleague Yang Zhong, I presented modern user experience concepts (UX) for IoT solutions in a lecture.

IoT 40
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Patient Care in the Cloud

CDW Research Hub

Healthcare is going digital, and it’s not all happening inside the hospital or clinic. With the increasing popularity of telehealth services and smart remote-monitoring devices, doctor-patient relationships have new tools for communication, diagnosis and monitoring, and the implications for patient care are significant. For example, McKinsey has identified that one of the principal reasons patients don’t achieve expected outcomes from treatment is due to failure to follow prescription regimens.

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Predictive Analytics Use Case: Fraud Mitigation!

Smarten

Fraud costs businesses millions of dollars per year, and the resources and effort required to mitigate fraud can take precious focus way from core business initiatives. But enterprises must address this critical issue, if they are to protect their interests and the interests of their partners and customers. While one may think of fraud most commonly associated with financial and banking organizations or IT functions or networks, industries like healthcare, government and public sector are also a