IBM Big Data Hub

OCTOBER 25, 2023

In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. Here’s how CTOs and CIOs can evaluate their technology and data estates, assess the opportunity and chart a path forward. Implementing generative AI can seem like a chicken-and-egg conundrum.

Cost-Benefit 90

Cost-Benefit ROI Modeling Testing 90

IBM Big Data Hub

JULY 5, 2023

Moving data and applications from traditional on-premises data centers to cloud infrastructure offers companies the potential for significant cost savings through accelerating innovation, keeping a competitive edge and better interacting with customers and employees. Limit data transfer fees by avoiding unnecessary data transfers.

Optimization 71

Optimization Forecasting ROI Metrics 71

CDW Research Hub

AUGUST 20, 2020

Many job seekers value the ability to work from home and favor jobs that provide them flexibility to do so, enabling them to say goodbye to onerous commutes and packed offices. With the benefits so apparent, why haven’t companies moved to this model en masse ?

Digital Transformation 98

Digital Transformation Modeling Strategy Optimization 98

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

Analytics 74

Analytics Cost-Benefit ROI Business Objectives 74

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

IBM Big Data Hub

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. Don’t try to do everything at once!

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

bridgei2i

JUNE 23, 2021

Enterprise AI harnesses advanced artificial intelligence techniques to deliver organizational data, knowledge, and information. Integrating enterprise AI into the business platform enables companies to identify trends in data sets for process automation, sales and business forecasting, and automated insights. Data is at the core of AI.

Strategy 52

Strategy Enterprise Key Performance Indicator Digital Transformation 52

Smarten

APRIL 18, 2023

and GPT-4 families of large language models, and fine-tuned using supervised and reinforcement learning techniques. As the market attempts to analyze the value and dependability of ChatGPT, Gartner has stated that, ‘ChatGPT will emerge from its beta phase into an early trial and pilot phase. It is built on OpenAI’s GPT-3.5

Digital Transformation 52

Digital Transformation Experimentation ROI Technology 52

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

Sisense

JUNE 24, 2021

The proliferation of information, data, technology, and digital platforms means that the ability to leverage learning and education solutions has evolved dramatically in recent years. A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 20, 2019

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to discuss cross-team collaboration within data science.

Data Science 76

Data Science Testing Software Uncertainty 76

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high.

Insurance 78

Insurance Risk Data-driven Modeling 78

Occam's Razor

DECEMBER 9, 2009

It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. Surprisingly it is often not their will to use data, that is there in many cases. Chapter 14: HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture.

Analytics 95

Analytics Data-driven Marketing Sales 95

IBM Big Data Hub

MAY 23, 2023

According to a 2021 study by the IBM Institute for Business Value (IBV), 80% of executives expected their organizations to operate more than 10 distinct clouds by 2023, up from eight in 2020. Per data from a 2022 Verizon report , as many as 8 in 10 security breaches are caused by human error. million compared to USD 4.24

Cost-Benefit 99

Cost-Benefit Strategy Reporting Marketing 99

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Jedox

NOVEMBER 23, 2021

The last blog post from our guest authors at smartPM.solutions was about S&OP maturity and the classification of your current S&OP situation according to the 5-stage Gartner S&OP Maturity Model. If you have not yet determined your S&OP maturity stage, you can do so in our last blog post.

Optimization 72

Optimization Forecasting Sales Measurement 72

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

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? The cloud is no longer synonymous with risk.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. This blog post does not discuss objectives.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

IBM Big Data Hub

JULY 25, 2022

Modern-day enterprises face a similar situation regarding data assets. On one side there is a need for data. Businesses ask: “Do we have this kind of data in the enterprise?” “How How do we get that data?” “Can Can I trust that data?” This discussion is more relevant with the advent of data fabric.

Metadata 72

Metadata Enterprise Consulting Publishing 72

Sisense

OCTOBER 27, 2020

As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. HR professionals are awash in hiring and employee data of all kinds. Again: Today, HR teams are inundated with HR data from a variety of sources.

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. " While reading the entire post will be of value (and ensure world peace), you're welcome to jump to the section that sounds most appealing. EU Cookies!) Let's do this!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

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.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Alation

AUGUST 4, 2022

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? Yet the question remains: How much value have organizations derived from big data? Big Data as an Enabler of Digital Transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

Alation

MARCH 24, 2021

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). AI fails when it’s fed bad data, resulting in inaccurate or unfair results.

Reporting 105

Reporting Data Quality Business Driver Enterprise 105

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 81

IT Data Governance Modeling Cost-Benefit 81

datapine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. Being a data-driven organization starts with understanding your data.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

Alation

JUNE 24, 2022

Last week the Alation team joined data leaders from all over the world for Snowflake Summit 2022 in Las Vegas. With over 10,000 people in attendance, it was truly an event for the entire data community. Attendees were focused on one key question: how can we put data into action and make it accessible to everyone? Let’s dive in!

Data Governance 59

Data Governance Insurance Data Processing Data Strategy 59