Expert insights. Personalized for you.
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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). MORE
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. MORE
Organizations are at a pinnacle time to address how to leverage intelligent technologies. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
Deep learning has advanced data storage to the point where, as more data hits it, the storage platform gets smarter and faster over time. MORE
Today, all of our digital devices and sensors are interconnected in the Internet of Things. MORE
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. MORE
Since the onset of the pandemic, when the world plunged into a state of suspended animation, “touchless business” has become more than a boardroom buzzword, a survival mechanism. MORE
“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? MORE
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. MORE
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. MORE
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. MORE
207 
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. MORE
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. MORE
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. MORE
In an increasingly interconnected, fast-changing, and globalized world, business operations have entered a new level of complexity. MORE
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. MORE
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. MORE
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. MORE
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. MORE
207 
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. MORE
On December 8, Amazon Web Services (AWS) suffered a historic, hours-long outage that wreaked havoc across the U.S. MORE
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. MORE
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. MORE
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. MORE
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 […]. MORE
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. MORE
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. MORE
207 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. MORE
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. MORE
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. MORE
Dataversity
JANUARY 14, 2022
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.
Dataversity
JANUARY 13, 2022
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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Dataversity
JANUARY 11, 2022
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.
Dataversity
JANUARY 10, 2022
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.
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.
Dataversity
JANUARY 12, 2022
Dataversity
JANUARY 4, 2022
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 […].
Dataversity
JANUARY 6, 2022
Organizations are at a pinnacle time to address how to leverage intelligent technologies.
Dataversity
JANUARY 3, 2022
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.
Dataversity
DECEMBER 30, 2021
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.
Dataversity
DECEMBER 30, 2021
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.
Dataversity
DECEMBER 29, 2021
On December 8, Amazon Web Services (AWS) suffered a historic, hours-long outage that wreaked havoc across the U.S.
Dataversity
DECEMBER 28, 2021
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).
|
Dataversity
DECEMBER 27, 2021
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.
Dataversity
DECEMBER 27, 2021
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.
Dataversity
JANUARY 3, 2022
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.
Dataversity
DECEMBER 22, 2021
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.
Dataversity
DECEMBER 20, 2021
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.
Dataversity
DECEMBER 20, 2021
“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?
Dataversity
DECEMBER 17, 2021
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.
Dataversity
DECEMBER 17, 2021
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.
Dataversity
DECEMBER 16, 2021
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.
Dataversity
DECEMBER 15, 2021
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.
Dataversity
DECEMBER 14, 2021
In an increasingly interconnected, fast-changing, and globalized world, business operations have entered a new level of complexity.
Dataversity
DECEMBER 13, 2021
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.
Dataversity
DECEMBER 10, 2021
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.
Dataversity
NOVEMBER 15, 2021
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.
Dataversity
DECEMBER 9, 2021
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.
Dataversity
DECEMBER 7, 2021
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.
Dataversity
DECEMBER 6, 2021
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.
Dataversity
DECEMBER 3, 2021
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.
Dataversity
DECEMBER 3, 2021
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.
Dataversity
DECEMBER 2, 2021
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.
Dataversity
DECEMBER 2, 2021
Deep learning has advanced data storage to the point where, as more data hits it, the storage platform gets smarter and faster over time.
Dataversity
DECEMBER 7, 2021
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.
Dataversity
NOVEMBER 30, 2021
Today, all of our digital devices and sensors are interconnected in the Internet of Things.
Dataversity
NOVEMBER 26, 2021
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.
Dataversity
NOVEMBER 23, 2021
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.
Dataversity
NOVEMBER 17, 2021
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.
Dataversity
NOVEMBER 16, 2021
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.
Dataversity
NOVEMBER 12, 2021
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.
Dataversity
NOVEMBER 11, 2021
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.
Dataversity
NOVEMBER 12, 2021
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.
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