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

Smart Data Collective

One poll found that 69% of e hey Cortana it’s usually executives believe that artificial intelligence is necessary to stop the rising threat of cybercrime. The rise of e-commerce fraud and account takeover fraud are notable examples of these threats that have gained prominence lately.

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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 to Reduce Sensitive Data Exposure for Your Enterprise

Smart Data Collective

According to the 2020 Cost of a Data Breach Report by IBM, businesses could lose at least $3.86 The best way to avoid losses and a reputational blow are by implementing the right preventive measures and keeping your exposure low. In fact, there is no better time than now for you to invest in beefing up your defenses.

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How Business Rules Analysis Drives Better Business Decisions

The BAWorld

Did you know that 78% of companies face issues maintaining consistency across their business operations due to poorly defined business rules? Conducting a business rules analysis is critical for several reasons: Consistency : Defined rules help maintain consistent decision-making and process execution across departments.

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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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Building a Data Science career without coding

The BAWorld

They create metrics for data quality and implement data governance procedures. Data profiling tools like Ataccama, Trillium, or IBM InfoSphere for profiling and validating data. Amazon, Google,>Microsoft, IBM and Oracle. Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data.

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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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