IBM Big Data Hub

NOVEMBER 14, 2023

Moreover, 36% of developers struggle with the collaboration between development and IT Operations, leading to inefficiencies in the development pipeline. One solution that is making waves in this landscape is “Wazi as a Service.” How does Wazi as Service help drive modernization?

Digital Transformation 103

Digital Transformation Testing Interactive Software 103

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

CIO Business Intelligence

FEBRUARY 19, 2024

So NCDIT officials took action, creating an internship program for Historically Black Colleges and Universities (HBCUs) students, a move that would open up for the organization a new pipeline for talent traditionally underrepresented in the IT industry. “We

IT 137

IT Consulting Reporting Software 137

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly.

Dashboards 60

Dashboards Testing Metrics Optimization 60

CIO Business Intelligence

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity. What does this have to do with technology?

Unstructured Data 94

Unstructured Data Modeling Data Architecture Enterprise 94

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

Modeling 275

Modeling Machine Learning Risk Advertising 275

IBM Big Data Hub

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. A lack of confidence to operationalize AI Many organizations struggle when adopting AI. It is an imperative. So what is stopping AI adoption today?

Metadata 79

Metadata Risk Experimentation Dashboards 79

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

DataKitchen

JANUARY 23, 2023

What is data lineage? Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. It is used to understand the provenance of data and how it is transformed and to identify potential errors or issues. What about DataOps Observability? How does it compare?

Testing 130

Testing Data Governance Data Quality Data-driven 130

Ontotext

FEBRUARY 12, 2024

Although the enterprise data landscape is littered with new data technology and offerings, the most pressing problem data teams face today isn’t a lack of technology or skills; it’s not knowing how to create a modern data experience. Why Data Mesh?

IT 64

IT Metadata Data Quality Data Lake 64

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Metadata 103

Metadata Risk Risk Management Experimentation 103

IBM Big Data Hub

DECEMBER 19, 2023

Many enterprises struggle to derive real value from their cloud journeys and may continue to overspend. DevOps pipeline-driven activities that can be utilized across the lifecycle. For many enterprises, the journey to cloud reduces technical debt costs and meets CapEx-to-OpEx objectives.

Data-driven 72

Data-driven Software Enterprise Testing 72

erwin

OCTOBER 16, 2020

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Instant reactions to fraudulent activities at banks.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

CIO Business Intelligence

FEBRUARY 21, 2023

The rebate modernization project is a great example of where we saved almost six months in being able to deploy a working solution,” he says, contrasting the agile project with a previous waterfall pilot where “we failed after six months because we designed it in a vacuum and couldn’t scale the solution.”

Digital Transformation 145

Digital Transformation Marketing Technology Software 145

Ontotext

JUNE 22, 2023

Another problem in drug development is that although companies gather a lot of data from multiple databases, they struggle to derive key insights about safety, drugability, etc. They need some kind of compass to find their way in the data jungle and identify information that is useful and relevant to their specific use case.

Metrics 52

Metrics Statistics Visualization Metadata 52

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

DataKitchen

JANUARY 17, 2022

A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. . The BA team was under constant pressure to deliver analytics on demand.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

Alation

AUGUST 3, 2021

But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. When DataOps is successful, organizations can realize immense improvements in how they find, use, and extract value from their data. Data teams were inspired by the DevOps methodology to create DataOps.

Testing 59

Testing Manufacturing Software Statistics 59

AWS Big Data

MARCH 3, 2023

Teams may struggle to have a unified view of software quality due to siloed testing across many disparate tools. In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024.

Strategy 52

Strategy Management Metadata Data-driven 52

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Data takes a long journey.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Sisense

JUNE 7, 2021

Your data’s value depends on how useful you can make it — in other words, can it answer your most pressing questions? When companies put their data to work by infusing analytics into daily tasks and business operations, they can gain critical visibility into what produces results and what doesn’t. Sales dashboard examples.

Sales 52

Sales Analytics Key Performance Indicator Dashboards 52

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. But what do we really mean when we talk about these issues?

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

BI-Survey

SEPTEMBER 5, 2022

Artificial intelligence (AI), machine learning (ML) and data science are among a large group of buzzwords associated with major breakthroughs in the way business is done and better outcomes are achieved. DataOps focuses on the realization of a manageable, maintainable and automated flow of quality-assured data.

Machine Learning 52

Machine Learning Measurement Modeling Data-driven 52

IBM Big Data Hub

OCTOBER 9, 2023

Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. These conversations are happening as the workforce is undergoing a major change.

Machine Learning 75

Machine Learning Management Optimization Technology 75

Andrew White

MARCH 31, 2023

How would I sum up several days in Orlando at our 2023 Data and Analytics conference last week – March 19th-22nd, 2023: Confusion Hype Voice of the Business Fort of all it was a fun time. A workshop that helps diagnostically map specific data to specific business outcomes. You can’t beat getting out and meeting people.

Analytics 40

Analytics Marketing Visualization Data-driven 40

Smart Data Collective

MARCH 21, 2022

If you are stuck with dumping data into warehouses and lakes then you are most likely not prepared for what’s coming up next. This era is changing data as we know it. Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types.

Management 67

Management Data Lake Uncertainty Data Warehouse 67

Cloudera

NOVEMBER 12, 2020

Here at Cloudera, we’ve seen many large organizations struggle to meet ever-changing and ever-growing business demands. A tale of two organizations. We see it everywhere. What we need is an easy way to get to the cloud, and use it only when we need it, and not run up the bill when we don’t. .

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Coming off the heels of Data Innovation Summit in Stockholm, it’s clear that in-person events are back with a vengeance, and we’re thrilled about it. Gartner Data & Analytics Summit 2022: Keynote Highlights.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

Cloudera

DECEMBER 4, 2020

After a tumultuous year, the final award category at the Data Impact Awards was a much needed pick me up for everyone in attendance. They are our corporate technical leaders, our data scientists, our data practitioners, and data administrators, all of whom stepped up to the plate in a time of critical need.

Forecasting 72

Forecasting Dashboards Modeling Testing 72

AWS Big Data

APRIL 5, 2023

In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization. Showpad’s legacy solution was fragmented and expensive, with different tools providing conflicting insights and lengthening time to insight.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

bridgei2i

JANUARY 25, 2022

In this episode of the AI to Impact Podcast, host Shivalika interacts with Kishore Kumar, Technical Lead & Senior AI Solutions architect at BRIDGEi2i, to know all about how MLOps is transforming the landscape for data scientists and engineers alike. And lucky for me, he’s not just my manager, but also my mentor. Hey, Kishore!

Machine Learning 52

Machine Learning Modeling Data Processing Enterprise 52

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. This is challenging because access to data is managed differently by each of the tools.

Metadata 96

Metadata Data Lake Publishing Data Governance 96

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand. Couldn’t execs have run better analyses to spot risks within the data?

Digital Transformation 55

Digital Transformation Uncertainty Risk Data Warehouse 55

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332