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

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

FEBRUARY 20, 2024

Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate. Global climate models have given climate scientists a set of expectations as to what the future could hold, both for the Earth at large and for specific regions.

Modeling 119

Modeling Forecasting Reporting Risk 119

Cloudera

JUNE 1, 2021

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. It also means we can complete our business transformation with the systems, processes and people that support a new operating model. . Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

CIO Business Intelligence

MARCH 14, 2022

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. I call this point data saturation.

Uncertainty 104

Uncertainty Measurement Cost-Benefit Optimization 104

erwin

OCTOBER 16, 2020

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. Where is the data?

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

erwin

MAY 6, 2020

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. Decrease data discovery and preparation times.

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

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 Belcorp operates under a direct sales model in 14 countries. The team leaned on data scientists and bio scientists for expert support.

Digital Transformation 104

Digital Transformation Cost-Benefit Informatics Data mining 104

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

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 98

Metrics Dashboards Interactive 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

CIO Business Intelligence

MARCH 9, 2023

In an IT marketplace marked by turbulence, inflation, and economic uncertainty, the process of contracting with vendors for technology products and services has gotten significantly more challenging for CIOs. Pricing models and metrics can also be complex, making it difficult to understand when additional costs might kick in, Alexander says.

Cost-Benefit 115

Cost-Benefit Risk Uncertainty Technology 115

Jedox

OCTOBER 8, 2020

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. Not to mention eventually leveraging the 70% – 80% of data that is considered “dark”.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

erwin

AUGUST 13, 2020

managing risk vs ROI and emerging countries)? 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.,

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

CIO Business Intelligence

AUGUST 1, 2023

At Broadcom, we make business decisions driven by what will bring customers the most value. Instead, our entire business model is grounded in the belief that we can create innovative solutions that will deliver on our customers’ needs over time and progress through multiple generations of technology. So, how do we make that happen?

Uncertainty 97

Uncertainty Risk Sales Marketing 97

CIO Business Intelligence

APRIL 6, 2022

Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment. If anything, the past few years have shown us the levels of uncertainty we are facing. Approaches like design thinking help empathize with real business problems and customer needs.

Experimentation 102

Experimentation Data Lake Uncertainty Enterprise 102

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

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. These examples are well covered by many others (e.g.,

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Can we model the impact for such structural shocks?

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Sisense

MARCH 26, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Using data to build a more resilient supply chain.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

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

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

Darkhorse

MARCH 31, 2015

They’re ready to transform your organization into a data-driven decision-making juggernaut. Add to these all of the decisions that they could be making (but aren’t) because of uncertainty or laziness. We’ll do so by eliminating those with high risk in data inputs, research, and implementation. Let’s cull the herd.

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

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. It is a big picture approach, worthy of your consideration.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 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

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

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. If people need to go through multiple layers of approvals, they run the risk of building a very inefficient system. Embrace data, and share it. Diversify your tech.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

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 73

Data Lake Cost-Benefit Digital Transformation Risk 73

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

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. He and his peers make a point of emphasizing the risks. You can’t wrangle AI by yourself. Experiment. That’s the way you want it.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

Jet Global

OCTOBER 21, 2020

The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet. Even the most careful and diligent financial planning process is vulnerable, running the risk of being obsolete. A new world of data possibilities. Why change the process?

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

CIO Business Intelligence

MARCH 20, 2023

One month later, Baxter began changing its operating model and restructuring the remaining company. As organizations face macroeconomic uncertainty and rapid changes to market conditions, collaboration between IT and business units are crucial to making those transitions quickly and smoothly.

IT 98

IT Digital Transformation Uncertainty Reporting 98

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

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. This results in growing competitive pressure, driven by innovation, complexity and changing social and political conditions.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. This results in growing competitive pressure, driven by innovation, complexity and changing social and political conditions.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

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