Cloudera

MARCH 28, 2019

Picture the scene: a hopeful homebuyer sits in the almost deserted lobby of a high street bank, waiting for the appointment she booked with the mortgage consultant a week ago – a week ago! Yet banks work with the same raw material as new entrants: data, masses of it. Risk management 3.0.

Risk 74

Risk Management Risk Management Machine Learning 74

Smart Data Collective

MAY 15, 2019

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology.

Big Data 93

Big Data Risk Measurement Data mining 93

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. PODCAST: COVID 19 | Redefining Digital Enterprises. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

CIO Business Intelligence

APRIL 24, 2024

Bernard Marr, author of the book Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society , sees the partnership representing a significant shift in how CIOs approach digital transformation. “It This reinforces the need for a responsible and ethical approach to using AI in business.”

Enterprise 119

Enterprise Digital Transformation Consulting Risk 119

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Analytics 100

Analytics Broadcasting Predictive Analytics Metrics 100

CIO Business Intelligence

MAY 22, 2024

While Kane shows clients how to save time and money using AI tools like Microsoft Copilot, many SMB customers still don’t see the value of generative AI in tasks like writing a newsletter, when the AI doesn’t have access to their internal data. They need to be shown how to really use the tool in order to use it effectively,” he says. “A

ROI 143

ROI IT Measurement Cost-Benefit 143

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 91

IoT Analytics Dashboards Data-driven 91

Laminar Security

JULY 19, 2023

Laminar Launches Two New Solutions to Become First Full Data Security Platform for Multi-Cloud and SaaS Environments In today’s data-driven world, cloud computing has become the backbone of innovation and growth for enterprises across all industries. Laminar’s forward-thinking approach addresses these requirements.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

CIO Business Intelligence

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. With generative AI now a firm digital transformation priority , 2023-24 will mark the beginning of an AI-driven transformation era.

Digital Transformation 144

Digital Transformation Data-driven Business Objectives Strategy 144

O'Reilly on Data

APRIL 4, 2024

The race to the top is no longer driven by who has the best product or the best business model, but by who has the blessing of the venture capitalists with the deepest pockets—a blessing that will allow them to acquire the most customers the most quickly, often by providing services below cost. I disagree.

Marketing 159

Marketing Modeling Finance Experimentation 159

DataRobot Blog

JANUARY 17, 2023

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. For counterparty behavior prediction: some form of structured data which contains not only won trades but also unsuccessful requests/responses. For price discovery (e.g.,

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

Smart Data Collective

APRIL 13, 2020

Big data is crucial for any organization that wants to attract and retain customers. A study by McKinsey Global Institute found that data-driven companies are 400% more likely to retain customers and 2,200% more likely to acquire new ones. Fewer experts have emphasized the significance of big data. It is inevitable.

Data Collection 141

Data Collection Big Data Cost-Benefit Strategy 141

IBM Big Data Hub

DECEMBER 16, 2022

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

O'Reilly on Data

OCTOBER 22, 2020

Understanding the company’s true purpose unlocks the business model and sheds light on what is useful to do with the data. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models. How did you obtain your training data? Source: Shane.

Consulting 303

Consulting Risk Cost-Benefit Modeling 303

Smart Data Collective

SEPTEMBER 22, 2021

Data engineers and data scientists are focused on developing new applications to meet their goals. There are a lot of great software applications that can be used for a variety of data science objectives. Unfortunately, developing software that was capable of handling big data challenges has been rather complex.

Big Data 111

Big Data Software Data Science Data-driven 111

IBM Big Data Hub

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. IBM foundation models are pre-trained on curated data. How is the insurance industry addressing these challenges ?

Insurance 56

Insurance Cost-Benefit Digital Transformation Marketing 56

CIO Business Intelligence

OCTOBER 20, 2023

The result, Jeevanjee says, is a technology-driven business strategy “that’s a very empowering thing.” As models evolve in the future to become fully multi-modal, they [will be] able to traverse different types of data.” To fuel its transformation, the Northbrook, Ill.-based And it has all been undertaken with a cloud-first approach.

Digital Transformation 136

Digital Transformation Insurance Recreation/Entertainment Machine Learning 136

Sisense

JANUARY 21, 2020

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. How can good data lead to faulty conclusions? How does this happen? 9/10 = 90%.

Testing 104

Testing Risk Data-driven Statistics 104

IBM Big Data Hub

MAY 14, 2024

Through new approaches to financial management that incorporate generative AI , this advanced technology can help CFOs make more informed, data-driven decisions for their organization that can have major financial implications. The IBM report found that, on average, AI adopters attribute 40% of finance function FTE redeployment to AI.

Finance 68

Finance Cost-Benefit Reporting Forecasting 68

CIO Business Intelligence

FEBRUARY 21, 2024

One is knowledge of the emerging mega trends in technology — data, AI, and machine learning — and the other is understanding organizational culture needed to advance the technology goals and to inspire contributors,” he says. We now use AI to help faculty understand some of those risk factors,” says Fozard.

Recreation/Entertainment 127

Recreation/Entertainment Experimentation Modeling Data-driven 127

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 363

Marketing Experimentation Metrics Testing 363

O'Reilly on Data

APRIL 22, 2020

The European Union’s General Data Protection Regulation (GDPR), for instance, imposes fines of up to 2%–4% of global annual revenue. For instance, financial companies are investing millions into using artificial intelligence to comply with anti-money laundering regulations or stricter data regulations. Don’t do it.

Cost-Benefit 252

Cost-Benefit Finance Strategy Data-driven 252

Smart Data Collective

FEBRUARY 8, 2022

Furthermore, some of these important activities include: Hotel bookings Expense management Flight management Booking car rentals upon traveler arrival, and more. AI has the ability to automatically adjust travel policies that complies with the company’s expense management data that is collected. Data-driven bookings.

Machine Learning 85

Machine Learning Management Data-driven Statistics 85

datapine

MARCH 8, 2021

Rapid technological evolution means it’s now possible to use accessible and intuitive data-driven tools to our advantage. We’ve delved into the impact of big data in healthcare. Without healthcare data reporting, it’s unlikely healthcare institutions will ever reduce these figures to an acceptable level on a sustainable basis.

Reporting 198

Reporting KPI Management Cost-Benefit 198

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Smart Data Collective

NOVEMBER 25, 2021

Data privacy concerns have become greater than ever in recent years. One recent study from the University of Maryland found that there is a data breach every 39 seconds. The threat of data breaches has become a lot greater in recent years as more businesses and consumers become dependent on big data. What Research Shows.

Big Data 97

Big Data Risk Data-driven ROI 97

CIO Business Intelligence

MARCH 14, 2022

So, it follows that there’s an optimal level of data where collecting further information won’t be worth the added cost. That optimal point is when additional data will not meaningfully change your decision. I call this point data saturation. Data creates the context for decision-making. Which customer should we lend to?

Uncertainty 89

Uncertainty Measurement Cost-Benefit Optimization 89

DataRobot Blog

AUGUST 10, 2022

Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services. Resetting urgent care performance and delivery.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Data Insight

APRIL 15, 2019

After almost two decades of using data and technology to solve business problems, one thing I still hear from businesses of all sizes is that they want to be more ‘data-driven’. I also tackle the risks to consider what the future holds for businesses who are smart enough to put data at the heart of everything they do.

Data-driven 45

Data-driven Data Strategy Risk Strategy 45

Jedox

JUNE 26, 2019

Mr. Liu-Lindberg is a Senior Finance Business Partner at Maersk and co-author of the book “Create Value as a Finance Business Partner.” This is no surprise because FP&A is on the rise, driven by CFOs, to become more strategic and a value-creating partner to the CEO. The business needs more from Finance.

Finance 91

Finance Data-driven Forecasting Marketing 91

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. Let us explain.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Three Types of Metadata in a Data Catalog.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

FineReport

JUNE 7, 2023

Moreover, the implementation of an effective Project Management Dashboard facilitates data-driven decision-making and sustainable business success. Project management dashboards employ a diverse range of visual elements, including graphs, charts, and other representations, to visualize project data.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

DataRobot

JANUARY 10, 2022

According to the Guinness Book of World Records, the largest Rube Goldberg consists of 412 steps and was achieved by Scandiweb in Riga, Latvia, on December 2, 2016. But not all AI poses serious risks. An AI driven organization is likely to deploy dozens or even hundreds of AI systems. Start With a Short-Form Assessment.

Risk 52

Risk ROI Data-driven Sales 52

CIO Business Intelligence

AUGUST 17, 2023

Anna Ransley, a CD&IO known for her work at Godiva and Heineken, among others, has been advising boards and C-suites about generative AI strategy, risks, and opportunities. Typical IT organizations already have embedded processes in place to see how execution can be done even in experiments while actively managing the risks.

Measurement 90

Measurement Risk Testing Technology 90

IBM Big Data Hub

JULY 27, 2023

It offers a holistic view, providing critical data about asset condition, location and efficiency. Sensors attached to assets can now gather asset data in real-time, and AI algorithms can analyze the data to predict potential equipment failures. equipment, machinery and infrastructure).

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56