Smart Data Collective

AUGUST 9, 2021

Big data is becoming increasingly important in the cybersecurity profession. A number of IT security professionals are using big data and AI technology to create more robust cybersecurity solutions. As cybersecurity threats become more serious, the demand for data-savvy cybersecurity experts will continue to rise.

Big Data 130

Big Data Consulting Uncertainty IoT 130

Cloudera

JUNE 1, 2021

This means we can double down on our strategy – continuing to win the Hybrid Data Cloud battle in the IT department AND building new, easy-to-use cloud solutions for the line of business. And, the Enterprise Data Cloud category we invented is also growing. After all, we invented the whole idea of Big Data.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

CIO Business Intelligence

NOVEMBER 1, 2024

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The The biggest challenge is data.

IT 104

IT Insurance Consulting Risk 104

IBM Big Data Hub

SEPTEMBER 29, 2023

1] The need to improve real-time decision-making is contributing to a growing demand for event-driven solutions and their ability to help businesses achieve continuous intelligence and situation awareness. An event-driven architecture focuses on the publication, capture, processing and storage of events.

Data-driven 99

Data-driven Uncertainty Cost-Benefit Marketing 99

CIO Business Intelligence

NOVEMBER 1, 2024

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The The biggest challenge is data.

IT 85

IT Insurance Consulting Risk 85

IBM Big Data Hub

OCTOBER 17, 2023

Uncertainty is expected and complexity is compounding. ” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. Advantages of event-driven solutions This is where event-driven solutions excel. 3 reasons to take advantage of event-driven solutions 1.

Data-driven 77

Data-driven Cost-Benefit Uncertainty Dashboards 77

CIO Business Intelligence

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . compounded annual growth from 2019 to 2024. .

Analytics 81

Analytics Insurance Big Data Uncertainty 81

IBM Big Data Hub

MAY 24, 2023

In an era of evolving consumer preferences and economic uncertainties, the beverage industry stands as a vibrant reflection of changing trends and shifting priorities. Data-driven insights and informed decision-making As with any transformative endeavor, data and data-driven insights will be paramount in Diageo’s journey.

Digital Transformation 78

Digital Transformation Consulting Data-driven Uncertainty 78

erwin

AUGUST 13, 2020

Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)?

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

IBM Big Data Hub

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. This trend grows stronger as organizations realize the benefits that come from the power of real-time data streaming.

Data-driven 77

Data-driven Cost-Benefit Uncertainty Enterprise 77

CIO Business Intelligence

JULY 11, 2024

In a business environment defined by volatility, uncertainty, complexity, and ambiguity (VUCA), the most successful CIOs are more than technology leaders; they’re “chief intentional officers.” That way you can make an informed decision driven by business needs, not hype.

IT 109

IT Risk Technology Uncertainty 109

AWS Big Data

JUNE 27, 2023

Given the limitations of the static PDF charts used for its recruitment marketing data, we recognized the opportunity to introduce real-time interactive dashboards to improve insights needed to drive recruitment marketing initiatives. This makes protecting customer data even more important.

Metrics 97

Metrics Dashboards Interactive Visualization 97

Smart Data Collective

JULY 24, 2019

Single Touch Payroll is the Biggest Breakthrough in AI Driven Accounting Solutions. Every time an established process or formula is changed, it’s usually met with a little bit of uncertainty. There are a number of ways that AI and other big data technology are intertwined with Single Touch Payroll.

Big Data 71

Big Data Uncertainty Reporting Data-driven 71

Smart Data Collective

APRIL 18, 2019

There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. They must still ingest and evaluate security data and verify that the cloud provider is doing their job correctly. Uncertainties are a major roadblock in automating cybersecurity.

Behavioral Analytics 77

Behavioral Analytics Advertising Uncertainty Machine Learning 77

IBM Big Data Hub

APRIL 20, 2023

A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. This technology-driven process visualization is revolutionizing the way we look at processes.

KPI 66

KPI Consulting Finance Enterprise 66

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. Security issues.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

IBM Big Data Hub

FEBRUARY 21, 2022

But amidst all this uncertainty just what trends should business leaders be focused on? The importance of the purpose-driven consumer. The post AI in retail and the rise of the purpose-driven consumer appeared first on Journey to AI Blog. The rise of hybrid shopping experiences. Want to learn more?

Digital Transformation 76

Digital Transformation Data-driven Uncertainty Strategy 76

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 76

Data Lake Cost-Benefit Digital Transformation Risk 76

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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. Probability, Uncertainty and Quantitative Risk (2017) 2:6.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

IBM Big Data Hub

FEBRUARY 20, 2024

According to the Geophysical Fluid Dynamics Laboratory of the US’s National Oceanic and Atmospheric Association (NOAA), “Climate models reduce the uncertainty of climate change impacts, which aids in adaptation.” Nature-based and technological solutions offer some avenues for adapting to drier conditions. millimeters (0.1

Modeling 113

Modeling Forecasting Reporting Risk 113

IBM Big Data Hub

MARCH 8, 2024

Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites. a new living room couch—consumers can reduce uncertainty and the likelihood of returning a product by “trying it out” in their living room.

Consulting 79

Consulting Marketing Sales Data Processing 79

IBM Big Data Hub

MAY 10, 2023

There’s a great deal of uncertainty throughout the business world, but we believe IBM Think offers a moment for our collective industries to come together and discuss solutions. As you’ve heard IBM CEO Arvind Krishna share many times, IBM is a hybrid cloud and artificial intelligence company.

Enterprise 80

Enterprise Uncertainty ROI Digital Transformation 80

Cloudera

NOVEMBER 19, 2018

One of Cloudera’s partners offers “Sustainability Services” with a goal of assisting organizations in turning costs and risks associated with changing regulatory and workforce environments, as well as supply chain uncertainties and volatile markets, into business opportunities.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

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 50

Digital Transformation Uncertainty Risk Data Warehouse 50

AWS Big Data

JUNE 22, 2023

Large organizations processing huge volumes of data usually store it in Amazon Simple Storage Service (Amazon S3) and query the data to make data-driven business decisions using distributed analytics engines such as Amazon Athena. You can partition your data by any column.

Metadata 84

Metadata Management Recreation/Entertainment Optimization 84

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. New processes focused on data visibility and business resiliency will emerge. Data, analytics and AI.

Software 52

Software Uncertainty Measurement Marketing 52

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

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

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 157

Metrics KPI Analytics Key Performance Indicator 157

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

Sisense

DECEMBER 13, 2021

It’s what allows them to unlock the full power of their data and make informed decisions. But, many don’t know where to begin or how exactly to work with their data to their optimal benefit. Data gives insight into user demographics, habits, preferences, and more. What is business intelligence?

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

IBM Big Data Hub

APRIL 10, 2023

This is Network Data and Analytics Function (NWDAF) in 5G Core, Radio Intelligent Controller (RIC) in O-RAN and SDN Controller in Software Defined Networks. Each of these entities applies a three-layered approach to network data monetization. Identifying the three layers of complexity Modern telco networks produce a lot of data.

Data mining 60

Data mining Data-driven Uncertainty Data Processing 60

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363