Remove Examples Remove Mining Remove Security Remove Survey
article thumbnail

How process mining improves IT service management to save your business time and money

IBM Big Data Hub

Any issues with these applications can lead to decreased productivity, wasted time and potential security risks. For example, if a user’s email is down, they submit a ticket to IT. Auto-discovery tools like process mining — a tool gaining popularity with organizations — does just that.

Mining 76
article thumbnail

MY TAKE: Here’s why we need ‘SecOps’ to help secure ‘Cloud Native’ companiess

The Last Watchdog

Security burden. Though DevOps-centric organizations can gain altitude quickly, they also tend to generate fresh security vulnerabilities at a rapid clip, as well. Poor configuration of cloud services can translate into gaping vulnerabilities—and low hanging fruit for hackers, the recent Tesla hack being a prime example.

Cloud 203
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

NEW TECH: LogicHub introduces ‘virtualized’ security analysts to help elevate SOAR

The Last Watchdog

Security orchestration, automation and response, or SOAR, is a fledgling security technology stack that first entered the cybersecurity lexicon about six years ago. Saurabh told me he developed a passion for helping organizations improve the efficiencies of their security operations. billion, and later co-founded SumoLogic.

Security 159
article thumbnail

New IBM study reveals how AI is changing work and what HR leaders should do about it

IBM Big Data Hub

Executives surveyed estimate that 40% of their workforce will need to reskill as a result of implementing AI and automation over the next three years. In fact, 87% of executives surveyed believe employees are more likely to be augmented than replaced by generative AI. The global skills gap is real and growing. billion of the 3.4

IT 75
article thumbnail

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. For example, is the problem related to declining revenue or production bottlenecks? as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

article thumbnail

Attacks against machine learning — an overview

Elie

This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them. This can be used, for example, to steal stock market prediction models and spam filtering models, in order to use them or be able to optimize more efficiently against such models. Model stealing techniques.

Mining 107
article thumbnail

Attacks against machine learning — an overview

Elie

This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them. This can be used, for example, to steal stock market prediction models and spam filtering models, in order to use them or be able to optimize more efficiently against such models. Model stealing techniques.

Mining 91