Dataversity

Responsible AI Is an Enterprise Imperative

Krishnaram Kenthapadi

AI models have been proven to enhance critical processes that influence bottom lines, from predicting and preventing churn to detecting instances of fraud. But AI has also made headlines for producing harmful business and societal results, such as discriminating against individuals based on race or gender

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Data Science and Privacy: Defending Sensitive Data in the Age of Analytics

Dataversity

When big data began getting corporate attention in the late 2000s, the idea of data privacy was considered lavish and exotic. The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever.

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Achieving Digital Resiliency and Agility with Organizational Change Management

Dataversity

IDC’s recent Future Enterprise Resiliency and Spending survey found that 65% of global decision-makers expect concerns about supply chain disruption, inflation, labor shortages, geopolitical tensions, and COVID variants to continue restraining the pace of recovery in global economic activity through the last quarter of the year and into 2023.

APIs and Data Sharing: Key Challenges to Address

Dataversity

Realizing the full potential of real-time data sharing among partners in an organization’s ecosystem is a crucial component of digital transformation. For digital businesses to progress quickly, it will take more than just better data management and more insightful analysis.

Building the Foundations of the Future: Digital Construction in 2022 and Beyond

FlowForma surveyed 100+ construction executives. This eBook details their opinions and delves into their drivers for workflow and process automation, reliance on manual processes, digital capabilities and goals for process automation, and digital transformation initiatives in 2022 and beyond.

Data Integrity: The Last Mile Problem of Data Observability

Dataversity

Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality.

What’s a Semantic Layer Worth?

Dataversity

There’s been a lot of talk about semantic layers lately. I’ve seen dozens of companies using a semantic layer to drive self-service analytics at scale. But even with all these success stories, I still get this question: “Is a semantic layer worth the effort?”

Protecting Customers and Your Business with Ethical Data Management

Dataversity

Many companies have been criticized in recent years for mismanaging data. For example, a major social media conglomerate recently came under fire for reports that user data was accessible to employees, leading lawmakers to call for an investigation by the F.T.C.

To Build or Buy: 3 Things IT Leaders Should Ask Themselves

Dataversity

IT Service Management (ITSM) and business platforms have enabled enterprises to rapidly build and buy cloud solutions and applications that improve modern business.

Moving to Distributed Systems Can Ease the Path to Cloud Infrastructure

Dataversity

Companies plan to increase their spending on cloud infrastructure but may be slowing down on taking a “cloud-first” approach. These are two of the conclusions outlined in the Enterprise Strategy Group’s (ESG) “2022 Technology Spending Intentions Report.”

Drive in the Express Lane to Product Growth

Speaker: John Mansour - President, Product Management University

In this webinar, we’ll discuss the common element that gives us the fastest route to growth and which product metrics matter most.

High-Fidelity, Persistent Data Storage and Replay

Dataversity

In arguably the most iconic scene from Bladerunner, replicant Roy Batty describes his personal memories as “lost in time, like tears in rain.” Until immortality is invented, we’ll have to settle for solving the same problem in data enablement. Actionable data lost to time.

How Behavioral Analytics Can Help Companies Keep More Customers

Dataversity

Even for the most effective marketing teams, it is impossible to achieve sustainable growth with poor customer retention rates.

AI and Machine Learning: Friend or Foe to Mankind?

Dataversity

While humans may be the most intellectual creations and sit atop the “food chain,” artificial intelligence (AI) is a branch of computer science that can simulate human intelligence in many cases. AI is implemented via machine learning (ML) and performs tasks traditionally executed by humans.

Data and Analytics Will Create a More Transparent, Fairer Health Care System

Dataversity

Consider a picture of data-enabled health care. Health records, insurance claims, and telehealth appointments occur from your phone. Wellness apps track everything from stride length to arrhythmia. Digital glucose monitors keep tabs on blood sugar to help manage diabetes.

Feedback Management: A PM's Key for Continuous and Impactful Product Growth

Speaker: Hannah Chaplin - Product Marketing Principal at Pendo & Steve Cheshire - Product Manager at Pendo

Join Hannah Chaplin and Steve Cheshire as they discuss how you can utilize customer feedback to help your business stay competitive in an increasingly challenging global market.

Getting to AI Adoption at Scale

Dataversity

Everyone wants to increase the adoption of their AI programs, but there are several “chicken and egg” problems to overcome: How do we get the resources to build out the technical infrastructure required to use AI at scale, when we have not proven the value yet?

How to Modernize Analytics Strategies with Operational Data

Dataversity

We all know data is valuable to our businesses. And we all know that we should be able to do more with that data. Just as Michelangelo said that every block of stone has a statue inside it and it is the task of the sculptor to discover it, so every set of data has […].

Solving the Snapshot Migration Dilemma

Dataversity

Detailed planning and thoughtful consideration are critical for IT leaders moving their unstructured data to a new platform, whether it be on-premises or in the cloud. If they aren’t cautious, enterprises may encounter cost overruns, project delays, and data risk.

How to Make the Jump to AI

Dataversity

AI and machine learning models are being used to help companies stay competitive by discovering new revenue opportunities, improving risk management, detecting fraud, and streamlining business processes.

Power of the Platform: A PM's Path to a Winning Product Experience

Speaker: Marcus Andrews - Director of Product Marketing & Keren Wexler - Sr. Director of Product

In this webinar, Marcus Andrews and Keren Wexler will explain common challenges faced by product teams, how to use analytics to create better product launches, platform adoption, and how to add feedback into your workflows!

Scaling Data Access Governance

Dataversity

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. However, this ability comes with potential consequences.

The Rise of Data-Centric AI

Dataversity

Data-centric AI is gaining momentum among engineers.

How a Modern Cloud Analytics Stack Can Optimize the Value of Your Data

Dataversity

Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently.

Data Management Is Dead – Data Empowerment Has Emerged

Dataversity

In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment.

108 Business Analysis Techniques

As a training and consulting organization for business analysis, we have come across many techniques that business analysts use while conducting business analysis activities. We decided to compile all the techniques that we came across and find useful.

5 Ways Data Storage IT Pros Enable Business User Self-Service

Dataversity

Multi-Cloud Networking Design Checklist

Dataversity

As a principal solutions architect, I always start my cloud architecture discussions with the “triangle of truth,” or “holy trinity” of architecture principles for cloud: stability, agility, and security. You must have these three things.

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How AI Is Driving Data Speeds in Data Centers

Dataversity

Developments in artificial intelligence (AI) technologies have opened up major opportunities and improvements for data processing and analytics.

Major AI Trends for Traditional Enterprises in 2023

Dataversity

Post-pandemic, the demand for AI is surging, as many organizations ascertain the need for AI to keep pace with the current business landscape in the face of a looming recession.

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Using Data Analytics to Understand Gross Margin Attribution

Dataversity

Companies across sectors and of all sizes face a common problem: understanding their profit margins and identifying the levers that are attributing to those margins.

How to Implement a Data Quality Framework

Dataversity

According to IDC, 30-50% of businesses experience gaps between their data expectations and reality. They have the data they need, but due to the presence of intolerable defects, they cannot use it as needed.

How Developers Can Strengthen Data Security with Open Source and PKI

Dataversity

In the never-ending battle between business success and cybersecurity threats, enterprises have discovered a secret weapon. Developers, once the scourge of security teams, are becoming vital proponents of secure software.

Why the Consumable Form of Data Needs Your Attention

Dataversity

How organizations manage their data directly impacts their success or failure. The correlation between data analytics and intelligence to competitive advantage and growth has led to heavy investments in those technologies throughout the last decade.

AAC Exam Mock Questions

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