CIO Business Intelligence

OCTOBER 23, 2023

In today’s uncertain economic landscape, it is no surprise that organizations are driven to optimize business costs. All of these present challenges for IT professionals within their day-to-day activities in data centers. With outdated and inefficient equipment, valuable resources and energy are being wasted in data centers.

Cost-Benefit 96

Cost-Benefit Uncertainty Digital Transformation Optimization 96

CDW Research Hub

OCTOBER 19, 2021

Sirius’ services and solutions capabilities in key growth areas, including Hybrid Infrastructure, Security, Digital and Data Innovation, and Cloud and Managed Services, will enhance the breadth and depth of CDW’s services and solutions offerings. “As Sirius and CDW share common values and a performance-driven, customer-focused culture.

Uncertainty 102

Uncertainty Sales Finance Cost-Benefit 102

Smart Data Collective

SEPTEMBER 7, 2021

Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers. Big data is a not new concept, and it has been around for a while. Source: Statista.

Big Data 124

Big Data Technology Cost-Benefit Predictive Analytics 124

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Digital Transformation 94

Digital Transformation Cost-Benefit Informatics Data mining 94

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. First, because uncertainty exploded. Business people want more data than ever. It’s now about using data for survival in the present and new business models in the future.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

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

CIO Business Intelligence

AUGUST 1, 2023

At Broadcom, we make business decisions driven by what will bring customers the most value. The idea is simple: We tailor our innovations and solutions to their needs over the long term and equip them with the tools they need to drive outcomes. So, how do we make that happen? We listen to our customers.

Uncertainty 87

Uncertainty Risk Sales Marketing 87

Smart Data Collective

SEPTEMBER 30, 2022

The landscape of blockchain-driven solutions: from 2018 to 2022. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. This way, all data becomes auditable to every chain participant on an event-level basis.

Advertising 137

Advertising Marketing Technology Uncertainty 137

CIO Business Intelligence

AUGUST 7, 2023

You have to truly understand how systems are used, how data is entered into systems, and how it’s manipulated in order to make decisions. The secret is being present and partnering,” Barrios says. The effort resulted in an enterprise data platform used to track users wherever they are in the product lifecycle.

IT 92

IT Sales Manufacturing Cost-Benefit 92

CIO Business Intelligence

JANUARY 12, 2023

In many ways, the manufacturing industry stands on edge—emerging from a pandemic and facing all-time highs in demand yet teetering on inflation-related economic uncertainty and coping with skilled labor shortages. With edge computing, those functions are performed much closer to where the data is created, such as on the factory floor.

Manufacturing 75

Manufacturing Technology IoT Internet of Things 75

Jet Global

MARCH 30, 2021

Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. Does your team ever have lingering doubts about the data it receives or its own subsequent analyses?

Risk Management 98

Risk Management Risk Strategy Enterprise 98

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 100

Risk Optimization Management Insurance 100

CIO Business Intelligence

JUNE 22, 2022

Next, we need a vision-driven framework at the national level to pinpoint the right direction and motivate the whole country to fight together for our vision. At the same time, the notion of data localization is gaining traction. At present, 62 countries around the world have issued 144 data localization policies.

Digital Transformation 89

Digital Transformation Uncertainty Data-driven Manufacturing 89

Juice Analytics

OCTOBER 7, 2019

With all the talk about Data Literacy (led by folks like @Ben Jones , @Jordan Morrow , @Valerie Logan ) and/or Data Fluency (?? Dalton Ruer ), the time is right for a more rigorous methodology for understanding the audiences for data dialogue. I’d like to share a framework for profiling Data Personalities.

Uncertainty 60

Uncertainty IT Data-driven 60

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

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 98

Strategy Risk Enterprise Risk Management 98

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products? Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

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

Jet Global

JULY 21, 2020

Be prepared to challenge any data points in the cash flow projection that are driven by an assumption that “business as usual“ will return quickly. As already noted, for example, sales pipeline data needs to be accurate and up to date. First, it means that data must be pulled from multiple sources, including ERP and CRM.

Management 64

Management Sales Forecasting Measurement 64

Insight

MAY 15, 2020

However, recent hiring trends show that many tech companies are still actively hiring, especially for data-driven roles! Lacey Cope, Heading of Coaching & Development at Insight This can be accomplished by being even more intentional about how they present themselves during the recruitment and interview process.

Uncertainty 76

Uncertainty Data Science Statistics Marketing 76

Sisense

JUNE 24, 2020

Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. So what’s the best way to present your platform to customers?

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

Jet Global

SEPTEMBER 10, 2020

Many teams accept long hours and repetitive data entry as a necessary evil, the hard work required to get a clear and comprehensive portrait of financial performance. Spreadsheet Server puts an end to tedious, manual data dumps from NetSuite into Excel. The question is, does financial reporting have to be this way?

Finance 52

Finance Reporting Optimization Uncertainty 52

bridgei2i

JULY 8, 2020

The bottom line is that despite these uncertain times, this situation presents fascinating learning outcomes for all. 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.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

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

Timo Elliott

JANUARY 18, 2021

And so we scrambled the crisis management team and started looking at the data from very, very early on. It’s very fact-driven, but it’s a combination of facts and how we’re responding as a company and how people are responding personally. And it’s very, very data-driven. It’s a feedback loop.

IT 76

IT Dashboards Digital Transformation Data-driven 76

CIO Business Intelligence

DECEMBER 19, 2022

They want to know what role a combined Broadcom-VMware would play as governments increasingly recognize the power of data – economically, politically, and geo-politically – to drive local, national, and even multi-national economic development. Those rules are proliferating quickly.

Uncertainty 137

Uncertainty Risk Data-driven Reporting 137

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-driven 110

Data-driven Data Science Machine Learning Modeling 110

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

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . Be present with your staff. Embrace data, and share it. Budgets may need adjusting,” he says.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

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

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

CIO Business Intelligence

JULY 17, 2023

What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business? Data and cybersecurity issues challenge every IT leader. With cybersecurity and data protection, end-user awareness presents itself as a key challenge. The major focus is on zero plastic waste organization.

IT 93

IT Digital Transformation IoT Internet of Things 93

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 77

Data Lake Cost-Benefit Digital Transformation Risk 77

O'Reilly on Data

OCTOBER 13, 2020

From a technical perspective, it is entirely possible for ML systems to function on wildly different data. For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. I/O validation.

Management 252

Management Metrics Machine Learning Modeling 252

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

CIO Business Intelligence

AUGUST 25, 2023

It’s around these four work streams that leading organizations are positioning themselves to mature their data strategies and, in doing so, answer not only today’s AI questions but tomorrow’s. Have them ready for impromptu meetings, town hall presentations, and other settings. You can’t wrangle AI by yourself.

Strategy 96

Strategy Data Strategy Experimentation Uncertainty 96

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113