IBM Journey to AI blog

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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DrivenData Labs

MARCH 26, 2024

NASA's commitment to open data sharing empowers global efforts to tackle urgent issues, such as the Sustainable Development Goals. Dr. Steve Crawford, Senior Program Executive for Scientific Data and Computing at NASA Background ¶ Our world is facing many urgent challenges, such as climate change, water insecurity, and food insecurity.

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Dataversity

SEPTEMBER 11, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). Read last month’s column here.)

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Dataversity

DECEMBER 18, 2023

Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

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Dataconomy

AUGUST 16, 2023

Today’s question is, “What does a data scientist do.” ” Step into the realm of data science, where numbers dance like fireflies and patterns emerge from the chaos of information. In this blog post, we’re embarking on a thrilling expedition to demystify the enigmatic role of data scientists.

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Pickl AI

APRIL 14, 2023

As the world slowly drifts towards data-driven decision-making, the relevance of quality data sets becomes even more significant. While most of this data is stored in a repository or on a cloud-based platform, the system’s vulnerability cannot be undermined. Here comes the role of Data Governance.

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IBM Journey to AI blog

MAY 8, 2024

For true transformation to begin, we believe it is key to understand the unique challenges organizations are facing—whether it is keeping data secured, addressing data sovereignty requirements or speeding time to market to satisfy consumers. The security of our client’s data is at the heart of everything we do.

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IBM Journey to AI blog

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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DrivenData Labs

MAY 18, 2023

Where do you live, what do you do professionally, what do you enjoy doing outside of work? How did you get started in data science? Like many data scientists in the 2010s, I stumbled my way into the field. This involved lots of dirty data work since we were linking datasets from multiple state and federal agencies.

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IBM Journey to AI blog

JANUARY 23, 2023

If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?

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AWS Machine Learning Blog

MAY 9, 2024

Organizations across industries face numerous challenges implementing generative AI across their organization, such as lack of clear business case, scaling beyond proof of concept, lack of governance, and availability of the right talent. What is an AI/ML CoE?

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IBM Journey to AI blog

MARCH 4, 2024

Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth. times higher ROI.

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Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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Precisely

FEBRUARY 12, 2024

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. Despite that fact, valuable data often remains locked up in various silos across the organization. It needs to have integrity.

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IBM Journey to AI blog

MAY 31, 2023

Register for the free, virtual event What is Presto? Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. What is PrestoCon Day? PrestoCon Day brings together Presto users and developers from organizations around the globe.

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IBM Journey to AI blog

APRIL 22, 2024

That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” As data use and processing activities increase, so too will global emissions. In our 2023 Impact Report , we reported that 70.6%

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IBM Journey to AI blog

MAY 6, 2024

Innovate now, secure later: A disconnect Today, the IBM® Institute for Business Value released the Securing generative AI: What matters now study, co-authored by IBM and AWS, introducing new data, practices, and recommendations on securing generative AI deployments. Why is there such a disconnect?

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IBM Journey to AI blog

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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IBM Journey to AI blog

DECEMBER 18, 2023

One of the largest sources of data is all around us—that is, geospatial data. Geographic information systems (GIS ) visualize and make sense of this data, helping people and businesses better understand the patterns and relationships of our world.

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IBM Journey to AI blog

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Silos exist naturally when data is managed by multiple operational systems.

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Alation

FEBRUARY 3, 2022

What do all these disciplines have in common? What Is Continuous Improvement? The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. So how does data governance relate to DataOps? Data governance is a key data management process.

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Alation

FEBRUARY 14, 2023

In this day and age, regardless of industry, keeping data protected and its uses understood is vital. No business wants to have the PR nightmare of a data leak or personal data being used without the correct permissions. This is where successful data governance programs can act as a savior to many organizations.

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Pickl AI

OCTOBER 11, 2023

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data. What is Data Observability?

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IBM Journey to AI blog

AUGUST 23, 2023

However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves. Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators.

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Pickl AI

OCTOBER 10, 2023

In this blog, we are going to unfold the two key aspects of data management that is Data Observability and Data Quality. Data is the lifeblood of the digital age. Today, every organization tries to explore the significant aspects of data and its applications. What is Data Observability and its Significance?

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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. What is the Data Fabric? The domain of the data.

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Dataversity

NOVEMBER 28, 2023

Biometrics was once a novelty reserved for spy movies and top-secret government facilities. While biometric data security technology offers advantages not available through conventional passwords, it also has unique privacy risks and limitations. What Is Biometric Data?

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IBM Journey to AI blog

JANUARY 3, 2024

The COVID-19 pandemic revealed disturbing data about health inequity. What is available over the counter that may work instead? There are many elements required to earn people’s trust, including making sure that your AI model is accurate, auditable, explainable, fair and protective of people’s data privacy.

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IBM Journey to AI blog

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management. You can read more about why Velox was built in Meta’s engineering blog.

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Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. But what about governance rules that enforce quality?

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IBM Journey to AI blog

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. A schema describes the structure of data. Apache Kafka transfers data without validating the information in the messages. What is a schema registry?

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Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? But what comes after these parameters are set?

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IBM Journey to AI blog

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English.

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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. The post Data Governance, Data Leadership or Data Architecture: What Matters Most?

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IBM Journey to AI blog

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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IBM Journey to AI blog

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. So what is stopping AI adoption today? While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice.

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