IBM Journey to AI blog

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. 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.

AI 77

AI AI Data Warehouse ML 77

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Analytics Analytics 52

IBM Journey to AI blog

JANUARY 22, 2024

The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. The company processes data on behalf of a company based in the EEA.

Data Governance 88

Data Governance Database 88

Alation

FEBRUARY 3, 2022

The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps?

Data Governance 98

Data Governance DataOps Data Quality Machine Learning 98

IBM Journey to AI blog

FEBRUARY 7, 2024

Businesses, governments and individuals now see sustainability as a global imperative. In 2024, sustainability is taking center stage. Efforts to track and reduce emissions, environmental impact and contributions to climate change are no longer rare or optional; instead, they’ve become the norm. trillion to the global economy by 2050.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Internet of Things Machine Learning 98

IBM Journey to AI blog

SEPTEMBER 15, 2023

For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data. The process will accelerate the pace at which ESG data will need to be collected, verified, and incorporated into these financially material investor disclosures.

Analytics 79

Analytics Analytics Data Quality 79

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? Why is your data governance strategy failing?

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

IBM Journey to AI blog

APRIL 27, 2023

While many organizations have established environmental, social and governance (ESG) goals and made ESG commitments, driven by purpose and emerging regulatory requirements, they face several challenges when making the transition from ambition to action.

85

85

IBM Journey to AI blog

MAY 2, 2023

Thanks to systems like ChatGPT, just about anyone can now use advanced AI models that are not only capable of detecting patterns, honing data, and making recommendations as earlier versions of AI would, but also moving beyond that to create new content, develop original chat responses, and more.

AI 104

AI AI Artificial Intelligence Artificial Intelligence 104

Dataconomy

JULY 31, 2023

In this blog post, we’ll delve into the mechanics behind this cutting-edge technology, exploring how the Orb’s intricate design distinguishes one individual from another with pinpoint accuracy. The Worldcoin Orb makes this a reality by leveraging advanced iris pattern recognition technology. How does Worldcoin Orb work?

Machine Learning 172

Machine Learning Machine Learning Algorithm AI 172

Towards AI

JUNE 5, 2023

There are hundreds of blogs written on the same topic. As such, my intention with this blog is not to duplicate those definitions but rather to encourage you to question and evaluate your current ML strategy. The goal should be to automate all aspects, from data acquisition and processing to training, deployment, and monitoring. .✓

ML 52

ML ML Data Scientist EDA 52

IBM Journey to AI blog

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Irish regulators hit Meta with a EUR 1.2 billion fine in 2023.

Data Governance 82

Data Governance AWS Database 82

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. The Data Race to the Cloud. This recent cloud migration applies to all who use data. Fern Halper, Ph.D.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Data is both the enabler and the competitive advantage behind these experiences.” — Satyen Sangani, CEO and co-founder, Alation.

Data Governance 52

Data Governance Data Silos Analytics Analytics 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production.

AWS 88

AWS ML ML AI 88

IBM Journey to AI blog

MARCH 27, 2024

The company is working with extremely high volumes of data and expects this situation to continue or grow. So, you’ve got a ton of assets earmarked for data storage , with many more workloads on the way. Your business isn’t expecting this data to collect dust in a vault, either. What is a hyperscale data center?

Internet of Things 108

Internet of Things Cloud Computing Artificial Intelligence Artificial Intelligence 108

IBM Journey to AI blog

FEBRUARY 13, 2024

Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms. For sourcing teams, that means pivoting their mindset around selecting suppliers from a tactical, lowest-cost-above-all approach to a strategic one.

Artificial Intelligence 86

Artificial Intelligence Artificial Intelligence AI AI 86

Alation

JULY 26, 2021

How do you initiate change within a system containing many thousands of people and millions of bytes of data? During my time as a data specialist at American Family Insurance, it became clear that we had to move away from the way things had been done in the past. So you can probably imagine: The company manages a lot of data.

Data Governance 98

Data Governance Analytics Analytics 98

IBM Journey to AI blog

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more. This means actively minimizing downtime and closing gaps in the supply chain to remain competitive.

AI 80

AI AI 80

IBM Journey to AI blog

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. At the same time, you want to reduce the carbon footprint associated with moving and storing stock. Compute optimization: Data centers consume a huge amount of electricity.By

AI 79

AI AI Machine Learning Machine Learning 79

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

AWS 122

AWS AI AI ML 122

IBM Journey to AI blog

NOVEMBER 29, 2023

Complex event processing (CEP) enables teams to transform their raw business events into relevant and actionable insights, to gain a persistent, up-to-date view of their critical data and to quickly move data to where it is needed, in the structure it’s needed in.

Artificial Intelligence 92

Artificial Intelligence Artificial Intelligence Apache Kafka AI 92

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

IBM Journey to AI blog

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

AI 105

AI AI AWS Artificial Intelligence 105

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making. So, let’s get started.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Alation

FEBRUARY 15, 2022

It was the bricks-and-mortar, merchandising experience versus the data-driven, near-limitless inventory and dynamic flexibility of e-commerce competitors. To meet this trend, retailers know that data is the key. The wide-open, greenfield opportunity presented by retail data in the early e-commerce days has also changed.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

IBM Journey to AI blog

DECEMBER 15, 2023

Read our guide for sustainability leaders Business activities that contribute to carbon emissions and fossil fuels also forced organizations and policymakers to hold leaders accountable for their actions against environmental impact. Some of the first teachings about improving the planet seem simple: reduce, reuse, recycle.

73

73

Alation

JULY 30, 2021

6 Business Problems Data Catalogs Solve. The question I ask now is: What business problems does a data catalog solve for business customers? 1: Biz Problem – Making Data Accessible & Scalable in the Cloud. CIOs and CDOs are under the gun to deliver results faster, and this includes enabling a data-driven culture.

Data Warehouse 52

Data Warehouse Data Governance Cloud Data Machine Learning 52

Pickl AI

APRIL 27, 2023

Data Analytics Trend Report 2023: Data Science is an interdisciplinary field that focuses on filtering the data, categorizing it, and deriving valuable insights. As the importance of Data Science and its role continues to grow, so does the demand for data professionals. Eventually ensuring efficient functioning.

Analytics 52

Analytics Analytics Data Science Artificial Intelligence 52

IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

Alation

MARCH 29, 2023

Prior to that, I was a CTO in the state of California and have worked for state and local governments for 15 years. They help our customers architect their modern data stack , tying in Snowflake or Fivetran where they’re needed, for example. Eric Rosburg , Senior Account Executive, Alation: Sure! They can trust us.

Data Governance 52

Data Governance 52

IBM Journey to AI blog

DECEMBER 19, 2023

Rapidly deploying applications to cloud requires not just development acceleration with continuous integration, deployment and testing (CI/CD/CT), It also requires supply chain lifecycle acceleration, which involves multiple other groups such as governance risk and compliance (GRC), change management, operations, resiliency and reliability.

Data Classification 71

Data Classification 71

Smart Data Collective

JUNE 22, 2022

The financial sector is among the industries most affected by developments in big data. This market doesn’t seem to even include a number of new services financial institutions use that rely on big data. Big Data Change the Future of Payment Processing for Small Businesses. Big data is at the heart of this change.

Big Data 102

Big Data Big Data Algorithm Analytics 102

DagsHub

FEBRUARY 29, 2024

Introduction Machine learning models learn patterns from data and leverage the learning, captured in the model weights, to make predictions on new, unseen data. Data, is therefore, essential to the quality and performance of machine learning models. In this blog, I will describe how to prepare data for machine learning in depth.

Data Preparation 52

Data Preparation Machine Learning Machine Learning Data Governance 52

IBM Journey to AI blog

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few.

AI 60

AI AI 60

Google Research AI blog

NOVEMBER 17, 2022

Earlier this year at the ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), we published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles.

ML 45

ML ML Data Governance Data Scientist 45

phData

JULY 14, 2023

Both consumers and regulators are demanding transparency regarding the data that is collected and how it is utilized. As a result, companies are eliminating traditional practices like third-party cookies and app tracking while exploring new avenues such as data clean rooms. What is Snowflake? Why is AdTech Important?

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52