Dataversity

DataOps or Data Fabric: Which Should Your Business Adopt First?

Dataversity

There’s no shortage of buzzwords and phrases to define how an organization approaches and uses its data – with two of the most popular being DataOps and data fabric.

The Future of Data Management: Five Predictions for 2022

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As many have said, data is everything and everything is data. And the fact remains that the highest-value data sits in transactional databases behind applications like ERP, CRM, etc.

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Observability: Driving Digital Transformation in 2022 and Beyond

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In the last couple of years, we’ve seen rapid digital transformation take over with a large emphasis on cloud adoption. In 2022, we can expect this trend to continue, if not increase.

2022 AI Trends: Humans and AI Unite, RPA Fades, and Data Labeling Returns

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A whole host of issues emerged in 2021 related to AI – from leveraging AI and automation to fill in the gaps of the shifting working landscape where mass resignations are hitting every industry and algorithms falling short on promises made by industry leaders.

The Inside Scoop on Building a Data-Driven AI Organization

Speaker: Dr. Sunil Kumar Vuppala, Director - Data Science, Ericsson R&D, India

There are many challenged companies face in their fight to become data-driven. In this webinar, Dr. Sunil Kumar Vuppala will offer details, outline common challenge, and help you create a FAIR data-driven culture.

Data Fabric and RegTech: When Data Needs a Specific Domain for the Regulator

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Predictions for 2022: What Does the Future Hold for Databases and Open Source?

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Any time we stare into the crystal ball and try to predict the future, we try to balance what we want to see and what we hope won’t happen. We have to extrapolate from our own experiences, and what we think will take place after. And we’ll have to try and anticipate things that might […].

3 Best Practices When Using AI to Improve Compliance and Content Management

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Organizations are at a pinnacle time to address how to leverage intelligent technologies.

5 Trends That Will Enable Organizations to Leverage Data Effectively in 2022

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With data dependency at an all-time high for businesses, almost every industry player is looking to establish themselves as a technology company first, similar to Amazon or Netflix.

Graph: A Must-Have Enterprise Technology in 2022

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If 2021 was the year graph technology went mainstream, 2022 will be the year it becomes an enterprise “must-have.” Graph companies have attracted hundreds of millions of dollars in funding this year, as more organizations scale up (and out) with graph.

Invest in Your Recovery Before Disaster Strikes

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In the digital economy, business continuity is inextricably bound to technology. From retail and travel to finance and the public sector, services being moved online and employees working remotely means businesses are more reliant on their digital infrastructure than ever before.

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4 Key Steps to Adopting a Multi-Cloud Strategy

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On December 8, Amazon Web Services (AWS) suffered a historic, hours-long outage that wreaked havoc across the U.S.

Is Air-Gapped Backup Necessary for Effective Data Protection?

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Air-gapped backup is becoming increasingly popular in the backup and disaster recovery (DR) industry. Most backup and DR vendors are already offering it as an integrated feature or in the process of including it in their solution(s).

Top Cloud and Cyber Asset Management Trends of 2022

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Companies have been racing to mature their technologies and pursue digital transformations in the last few years, as a way to gain or maintain competitive advantage and resilience. This has led to an emerging area of focus: cyber asset management.

The Pros and Cons of Synthetic Data

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Data has established itself as one of the most important elements in both business and science. With the advent of big data services, companies can get access to previously unattainable advanced analytics, and researchers can find almost any imaginable dataset to draw insights from.

6 Data Cleaning Strategies Your Company Needs Right Now

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Data cleaning (or data cleansing) is the process of checking your data for correctness, validity, and consistency and fixing it when necessary. No matter what type of data you are handling, its quality is crucial.

What Data Protection Will Look Like in 2022

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Trying to protect sensitive data was a major concern for the enterprise in 2021, and it will continue to be in the coming new year.

Tales of Data Modelers

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Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). I agree with Larry on so many things. However, this post is not a review of Larry’s book.

The Dangers of a Data Swamp (and How to Avoid Them)

Dataversity

“Data is the currency of the future,” many experts have predicted. The 21st century has been characterized by the astounding amount of data we’ve gained access to. But what happens if this data isn’t properly stored?

CDOs Can Lead Their Organizations in the Successful – and Ethical – Use of Data

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Data plays a central role in digital transformation. In fact, it’s been referred to as the currency of modern, digital business. Without data, companies lack a true understanding of their customers, markets, trends, and even their own products and employees.

Will AI Become the Real Deal in 2022?

Dataversity

Despite extraordinary advancements in the field, machine learning (ML) and deep learning have seen slow adoption in the enterprise. It’s reported that nearly 80% of enterprises fail to scale AI deployments across the organization.

Beyond VoC: How Data-Driven Companies Are Using Text Analytics and NLP

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When we talk about applications for natural language processing (NLP), the use cases that generally come up focus on Voice of the Customer (VoC) and Customer Experience Management (CEM). And fair enough: Plenty of the activity around and investment in NLP has been in this space.

7 Factors to Consider When Deploying a Modern Data Estate

Dataversity

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization.

How to Create a Digital Twin of Your Business

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In an increasingly interconnected, fast-changing, and globalized world, business operations have entered a new level of complexity.

Cybersecurity Predictions: What to Expect in 2022

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Cybercriminals flooded businesses across industries with one major attack after another in 2021. As the year comes to an end, it’s time to look back at what we have learned the past year and what is in store for the security world in 2022.

A New Era of Risk: Data Security Through Modern Authentication Technologies

Dataversity

IT professionals are still struggling to manage the risks brought about by remote work with their existing data security tools. Remote access went from being considered a workplace exception to the default model for large swaths of employees seemingly overnight.

Is DataOps the Savior of Under-Pressure Analytics Teams?

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DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. And many believe it could now finally be about to enter the mainstream.

3 Steps to Maintain Total Data Visibility

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We live in an era where data is progressively becoming the essential and the only fuel for thriving business success. And the rapidly growing volumes of data have raised several security concerns that can’t be overlooked.

What Automation Will Bring in 2022

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Over the past year, we’ve seen businesses continue to push towards digital transformation, and automation has been a key part of this shift. Considering continued remote work offerings and higher demand for digital collaboration, I expect this trend to continue into next year and onward.

The Power of “Set It and Forget It” Data Governance

Dataversity

With the COVID-19 pandemic pushing life further online, the way we collaborate and communicate has been altered forever. In addition, the volume and variety of information and content grows exponentially by the day, making effective Data Governance a tough task for many companies.

Why Optimized Day 2 Operations Are Key for Modern Data Centers

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As edge cloud computing, AI/ML, and IoT revolutionize computing, many enterprises are considering pulling back on data center operations in favor of cloud-based solutions.

What to Expect in 2022: Data Privacy, Data Quality, and More

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As 2021 begins to draw to a close, there are lessons to be learned for marketers faced with abrupt changing consumer behaviors and an acceleration of digital channels.

A Guide for Nonprofits on Donor Data: How and What Kind of Data to Track

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Donor data is a key tool used by nonprofits to grow in the future and ensure their sustainability. It is not just a simple digital file folder. Nonprofits must use donor data to recognize new prospects and opportunities if they hope to continue their important mission.

Deep Learning: When Data Gets Smart

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Deep learning has advanced data storage to the point where, as more data hits it, the storage platform gets smarter and faster over time.

Data Governance, Data Leadership or Data Architecture: What Matters Most?

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Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture.

Cumulocity, IoT, and Analytics

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Today, all of our digital devices and sensors are interconnected in the Internet of Things.

A Beginner’s Guide to AI and Machine Learning in Web Scraping

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With uses spanning personalized medicine to the creation of social media clickbait, the use of artificial intelligence (AI) and machine learning (ML) is expected to transform industries from health care to manufacturing.

Email AI and Workflow Automation Saves Time and Money for Health Care

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The current state of the labor market is imposing obstacles for employers across many industries to fill open positions – health care being chief of them.

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Data vs. Disaster: 5 Ways Analytics Is Helping Tackle Climate Change

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With the recent Intergovernmental Panel on Climate Change (IPPC) report painting a worrying picture of our battle against climate change, we will explore five ways analytics can help turn the tide.

10 Issues to Avoid When Setting Up and Managing Your PostgreSQL Database

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PostgreSQL is a hugely popular database and the leading example of how an open-source database can operate successfully for its community and for companies. It has been named database of the year by DB-Engines for three out of the past four years, and it will be no surprise if that continues.

How Transformer-Based Machine Learning Can Power Fintech Data Processing

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Machine learning (ML) has enabled a whole host of innovations and new business models in fintech, driving breakthroughs in areas such as personalized wealth management, automated fraud detection, and real-time small business accounting tools.

Web Scraping for Science and Policy

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Back in 2020, when the COVID-19 pandemic was in its earliest, scariest stages, researchers found that localized search trends could predict outbreaks more accurately and quickly than other measures. User-generated inputs on the internet provided access to useful and actionable insights.

Data as a Product: What We Can Learn from More Established Industries

Dataversity

A concise definition of data product was coined by DJ Patil as “a product that facilitates an end goal through the use of data.” This includes not only pure datasets, both raw and refined, but also products based heavily on algorithms, models, and similar data-intensive workloads.