IBM Big Data Hub

MARCH 8, 2024

In the constantly shifting, rapidly expanding ecommerce ecosystem, businesses must think creatively about their digital strategies and how best to create dynamic, interactive shopping experiences that improve customer relationships. For purchases that are heavily dependent on environmental context—e.g.,

Consulting 87

Consulting Marketing Sales Data Processing 87

CIO Business Intelligence

MARCH 23, 2023

In State of the Data Race data, for example, about three quarters rate opportunities to learn and to use the latest technologies as important in their work.) You already know that the apps that will most delight your customers and win you market share or margin going forward will be AI-driven. And the stakes are high.

Uncertainty 59

Uncertainty Strategy Data-driven Reporting 59

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Cloudera

AUGUST 20, 2020

It’s been a year filled with disruption and uncertainty. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things. One day we were all going to the office, and the next we were working from home.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120

IBM Big Data Hub

FEBRUARY 20, 2024

Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice. 12 Ongoing sea level rises may be driven by instability and disintegration of ice shelves and ice sheets in Antarctica and Greenland.

Modeling 122

Modeling Forecasting Reporting Risk 122

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. In this session we explored what firms are doing to approach the uncertainty with more predictability. ML and AI can react quickly and handle mass amounts of data to give leading indicators. Quality of data.

Risk 97

Risk Optimization Management Insurance 97

CIO Business Intelligence

JUNE 22, 2022

In the face of emerging and disruptive technology, there is a need to transform your business processes and your interaction with your customers digitally. Drive insight with data-driven visualization. In the process of trying to better understand our customers and their needs, we collect a lot of data about them.

Digital Transformation 91

Digital Transformation Visualization Technology Marketing 91

Smart Data Collective

AUGUST 19, 2021

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. Instead, they have solid data backing their content marketing decisions; hence, they have seen a remarkable improvement in the effectiveness of their strategies. Every day, internet users generate vast amounts of data.

Marketing 131

Marketing Analytics Measurement Optimization 131

bridgei2i

JUNE 2, 2020

Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. He has extensive experience in designing solutions for clients using advanced ML techniques to harness information from different forms of data. What this means for financial services firms? Compliance is another.

Risk Management 128

Risk Management Risk Enterprise Management 128

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. What makes or breaks the success of a modernization is our willingness to develop a detailed, data-driven understanding of the unique needs of those that we aim to benefit.

Data-driven 90

Data-driven IT Measurement Cost-Benefit 90

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. Situationally, it was a really good time to deploy a data mesh architecture and its principles and invest in this space because we were doing so much tech modernization,” Lavorini says. “So So why not make data a part of it?”

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

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 54

Digital Transformation Uncertainty Risk Data Warehouse 54

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

CIO Business Intelligence

JULY 31, 2023

To allow or not According to various news reports, some big-name companies initially blocked generative AI tools such as ChatGPT for various reasons, including concerns about protecting proprietary data. 1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US.

Strategy 92

Strategy Risk Enterprise Risk Management 92

bridgei2i

MAY 18, 2020

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. Prior to the COVID-19 crisis, several B2B companies were on spiraling inward journeys to transform the way they engaged with customers by using data and technology to realign organization structures and acquire new skills.

B2B 52

B2B Sales ROI Marketing 52

bridgei2i

SEPTEMBER 16, 2020

This current phase has ensured that we all adapt to a technology-driven way of learning, working, and interacting with one another. So how do you think businesses are dealing with this uncertainty? So that brings us to the other aspect of it, which is data and data has become more important than ever before.

Digital Transformation 98

Digital Transformation Enterprise Sales Forecasting 98

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. Their head is like can we augment data from other data sources that can give us a glimpse into the future. Vignesh: Ganesh, you really highlighted some very important themes. These are strange times. Tune in for more.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. The data showed us that metrics are not exactly straight-line functions of parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. It helps you to amplify what’s proven to work, throw away what isn’t, and tweak the goal-posts when data indicates that they may be in the wrong place.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Juice Analytics

DECEMBER 1, 2020

The hot new concept in data visualization is "data storytelling"; some are calling it the next evolution of visualization (I'm one of them). However, we're early in the discussion and there are more questions than answers: Is data storytelling more than a catchy phrase? Data scientists aren’t always up to the job.”

Visualization 133

Visualization Interactive Uncertainty Data-driven 133

bridgei2i

JUNE 24, 2020

In this episode of AI to Impact, Jitendra Jethanandani, Director, Enterprise Tech at BRIDGEi2i, discusses how the current COVID-19 pandemic spreads waves of uncertainty across businesses and their customer base requiring a renewed focus required on customer engagement. COVID-19 and Changing Facets of Customer Engagement. JJ: Yes, Anushruti.

B2B 117

B2B Enterprise Sales Digital Transformation 117

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

CIO Business Intelligence

MAY 6, 2022

Work began in late 2020 on the service, which enables customers to connect through a live video/audio session to a United agent who can, in times of traveler uncertainty and stress, make new reservations on-the-fly, assuage worries about gate changes, and even upgrade the passenger’s seating on their next flight. You see it at the airport.

Uncertainty 87

Uncertainty Testing Digital Transformation Metadata 87

Occam's Razor

JULY 12, 2010

I want to constantly be in the know of new and more clever ways of working with data, tools that are often solutions to problems we don't know we have yet or tools that are sometimes seeking problems to solve!! Well not crap… lots of data that no one cared about or actioned. More desire to be data driven.

Analytics 96

Analytics Measurement Metrics KPI 96

Jet Global

MAY 18, 2020

It now includes data scientists and strategists, alongside the traditional controllers and accountants, meaning there are many more people looking at numbers. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. The skillset in the Office of the CFO is changing.

Finance 64

Finance Reporting Uncertainty Testing 64

BizAcuity

MARCH 28, 2022

Land-based casinos grappled with adapting to the new reality of non-physical interactions. In this medium post , Dan Schoenbaum had proposed a simple player retention framework covering 3 steps – unifying data across acquisition and retention, behavioral analysis for user loyalty, and social features to boost network effect.

Uncertainty 52

Uncertainty Data Warehouse Strategy Data-driven 52

Sisense

MARCH 11, 2021

As the COVID-19 pandemic drags on, we continue to find examples of organizations that use analytics to manage uncertainty. Data played an outsized role in the necessary changes we’ve seen in 2020 and will have an even greater impact in 2021 and beyond. New business conditions present new data that can yield game-changing insights.

Uncertainty 52

Uncertainty Insurance Data-driven Marketing 52

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. A few highlights from the session include.

Management 110

Management Machine Learning Experimentation Metrics 110

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

by NIALL CARDIN, OMKAR MURALIDHARAN, and AMIR NAJMI When working with complex systems or phenomena, the data scientist must often operate with incomplete and provisional understanding, even as she works to advance the state of knowledge. There has been debate as to whether the term “data science” is necessary. Some don’t see the point.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

CIO Business Intelligence

FEBRUARY 14, 2024

While the past few years have left us with a business landscape scarred by the impact of economic and geopolitical uncertainties, the current AI movement has become a rocket ship for significant transformative changes set to accelerate new opportunities. That’s why business and tech leaders must build for the future now.

Data-driven 72

Data-driven Uncertainty Enterprise Business Objectives 72

Cloudera

JULY 12, 2022

Cloudera has appointed Remus Lim as vice president of Asia Pacific and Japan, to drive adoption of the hybrid data platform across the region and support customers in their journey to become more data-driven. Data volumes and data sources continue to expand at breakneck speed.

Data-driven 102

Data-driven Uncertainty Data Architecture Strategy 102

CIO Business Intelligence

JULY 13, 2022

Cloudera has appointed Remus Lim as vice president of Asia Pacific and Japan, to drive adoption of the hybrid data platform across the region and support customers in their journey to become more data-driven. Data volumes and data sources continue to expand at breakneck speed.

Data-driven 78

Data-driven Uncertainty Data Architecture Strategy 78

Jen Stirrup

NOVEMBER 15, 2022

Why do organizations get stuck with their data? Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. It is such a fundamental question.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145