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AI Leads to Powerful New Fraud Detection Software for E-commerce

Smart Data Collective

Artificial intelligence technology has led to a number of major changes in digital technology. Fortunately, artificial intelligence can also be highly valuable for protecting against cybersecurity challenges. Detecting and preventing e-commerce fraud is a complex task.

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How to Run Successful Predictive Analytics Project for your Business

Marutitech

And that is only possible when common mistakes while implementing predictive analytics are avoided. Doing this will ease your task and help you better understand what is expected from the project implementation. . Below are some of the common issues which you can address by implementing predictive analytics: Revenue Forecasting .

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What Skills Are Needed for a Career in Data-Driven Cybersecurity?

Smart Data Collective

As far as the CAGR or Compound Annual Growth Rate is concerned, the largest growth is taking place forecasted vertically most notably for the cybersecurity service sector (management, consulting, and maintenance) especially relating to SMBs (Small-to-Medium Businesses.). FireEye, IBM, Palo Alto Networks, Inc., Zscaler, Inc.,

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Ensuring rich data quality, maximum security & governance, maintenance, efficiency in storage and analysis comes under the umbrella term of Data Management. According to IBM, on average it takes 228 days to identify a security breach and 80 days to contain it. They tell you how big data helped them create a mark in today’s world.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. Maximiser, Miller Heiman and more.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Data Pine

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. How to select and implement a solution based on your needs. The author, Anil Maheshwari, Ph.D.,

Big Data 105
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Top 10 Analytics And Business Intelligence Buzzwords For 2020

Data Pine

With technologies such as natural language processing, machine learning, pattern recognition cognitive computing is considered as a next-generation system that will help experts to make better decisions throughout industries such as healthcare, retail, security, and e-commerce, among others. BN in 2020, it registered a CAGR of 33.1%