Collibra

NOVEMBER 25, 2020

The first blog of this series discusses how businesses are increasingly realizing the need for metadata management to drive data governance, compliance, collaboration and higher data quality. This blog focuses on the best practices for metadata management. The importance of metadata. .” The types of metadata .

Metadata 59

Metadata Archiving Government Digital transformation 59

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). At Facebook Messenger, ML powers customer service chatbots.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?

Marketing 86

Marketing Artificial Intelligence Customer Experience Privacy 86

IBM Big Data Hub

AUGUST 7, 2023

More than ever, companies are finding that managing these interdependent journeys in a holistic and integrated way is essential to their success in achieving change. Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement.

Healthcare 60

Healthcare Artificial Intelligence Data science Compliance 60

Collibra

APRIL 11, 2023

This blog outlines what bad data means and how you can stop it from hurting your retail business. There can be many more possible causes of bad data that can hurt retail profits and growth. Wasted resources It takes a lot of time and effort to address all the issues created by bad data. What happens when you have bad data?

Retail 86

Retail Sales Compliance Marketing 86

IBM Big Data Hub

JULY 19, 2023

The explosion in digital data—in combination with declining availability of skilled and willing human resources to ingest and process the digital data in a compliant manner—is forcing life sciences organizations to explore AI, machine learning and now generative AI technologies.

Marketing 65

Marketing Manufacturing Analytics Compliance 65

eDiscovery Daily

JANUARY 8, 2018

Here are two cases where courts did just that – in one of them, this was the second time this judge specified search terms for the parties to use: Requesting 72 Spelling Variations on Five Search Terms Spells Trouble for Plaintiffs : In Diesel Power Source et. Crazy Carl’s Turbos et. Utah Magistrate Judge Brooke C. Wyoming Cty.

Metadata 44

Metadata Computer and Electronics Sales Education 44

Enterprise Software Blog

AUGUST 4, 2023

This technology is both very powerful and feature rich. And by now, you’ve probably already put together one or more Angular applications, but are they optimal? T he first big issue is the size of the resources (JavaScript, styles, static resources) that are transferred to the client.

Libraries 98

Libraries IT 98

IBM Big Data Hub

MARCH 19, 2024

The organization that learns to leverage the latest in AI tools is able to free up employee time, so they can put a little more “humanity” into their human resources operations. AI contributes to the creation of more inclusive and broadly enticing job descriptions.

Analytics 70

Analytics Risk Compliance Artificial Intelligence 70

CGI

JANUARY 31, 2019

Like all other industries, customer expectations are changing for utilities (as referenced in our prior blog: End of the ”good old” days for utilities ). Managing these unknown resources is difficult and creates additional security concerns. Thu, 01/31/2019 - 14:16. The new Win-Win-Win for Utilities, Customers and Regulators.

Customer Experience 40

Customer Experience Compliance Retail Data collection 40

ARMA International

SEPTEMBER 27, 2021

Some technology trends such as real-time data analytics are ongoing, while others are more recent, such as blockchain. Common personas are executives, directors, senior managers, financial analysts, and more. Here, Part 3 discusses how to manage the various DT risks. has released two reports to prepare for the next pandemic.

Digital transformation 54

Digital transformation Risk IT Computer and Electronics 54

Collaboration 2.0

AUGUST 12, 2008

Oliver Marks Mobile RSS Email Alerts Comments Share Print Facebook Twitter Recommend Yahoo Buzz Digg Email Facebook Twitter StumbleUpon Reddit Home / News & Blogs / Collaboration 2.0 His personal blog is at www.olivermarks.com. Hot Topics iPhone iPad Enterprise 2.0 Microsoft Office Green tech Smart phones Collaboration 2.0

Paper 41

Paper Archiving Education IT 41

KnowBe4

MARCH 7, 2023

It is an excellent wake-up call for your C-level execs and powerful budget ammo. The KnowBe4 blog initially reported on this hack on March 24, 2022 here: [link] and in our CyberheistNews May 17, 2022 here: [link]. And nobody knows this more than Roger A. What they refer to is the Viasat hack.

Phishing 84

Phishing Ransomware Cybersecurity Security awareness 84

IBM Big Data Hub

AUGUST 22, 2023

Disease forecasts are not nearly as accurate as modern weather forecasts, as documented in ongoing evaluations of COVID-19 forecast models. So, what can we learn from weather forecasting that might help us develop more robust disease forecasting and outbreak predictions? George offers a compelling vision.

Analytics 61

Analytics Manufacturing Access 61