erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana. Data modeling basics. Data Modeling. So, let’s now begin to data model NoSQL databases.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Domino Data Lab

OCTOBER 16, 2019

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. For additional vital signs and insight beyond what is provided in this article, attend the webinar. Machine learning models: running wild.

Metrics 49

Metrics Modeling Machine Learning Measurement 49

IBM Big Data Hub

JANUARY 25, 2024

” Read the “Presidio AI Framework” paper to learn how to address generative AI risks with guardrails across the expanded AI life cycle As generative AI continues to go mainstream, organizations are excited about the potential to transform processes, reduce costs and increase business value.

Strategy 105

Strategy Risk Cost-Benefit Business Objectives 105

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Multiple unsupported tools for building and deploying models.

Metadata 102

Metadata Risk Risk Management Experimentation 102

CIO Business Intelligence

OCTOBER 25, 2023

Zscaler Enterprises will work to secure AI/ML applications to stay ahead of risk Our research also found that as enterprises adopt AI/ML tools, subsequent transactions undergo significant scrutiny. In all likelihood, we will see other industries take their lead to ensure that enterprises can minimize the risks associated with AI and ML tools.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

CIO Business Intelligence

JUNE 28, 2023

In addition, many organizations are adopting new models of security to comply with regulations that require limited, controlled access to data, such as the General Data Protection Regulation, Health Insurance Portability, and Accountability Act, and Payment Card Industry Data Security Standard.

Reporting 98

Reporting Insurance Risk Strategy 98

erwin

JUNE 7, 2022

Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Data modeling for the cloud: good database design means “right size” and savings. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Data Modeling. Business Focus.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Are there data modeling tools to assist with such an effort?

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

Jet Global

AUGUST 31, 2020

Webinar Date: Wednesday September 16th, 8 AM EST / 1 PM BST / 2 PM CET. Key takeaways from this webinar: How you can mitigate risk and respond effectively during a crisis. Which scenario planning models are right for your business and Tax team. Register Now. The shift from quarterly to monthly reporting for Tax teams.

Finance 75

Finance Sales Reporting Risk 75

CIO Business Intelligence

MAY 17, 2022

As adversaries emerge, CIOs, CISOs, SOC analysts, and threat analysts alike must be able to quickly evaluate the risk and potential impact on the business. For example, the CIO of a retail bank might read about an attack on banks within their geographic area and want to know whether their bank is at risk of attack.

Risk 98

Risk Strategy Marketing Machine Learning 98

CIO Business Intelligence

DECEMBER 19, 2023

Endlessly extending hub-and-spoke networks to more remote users, branch offices, and cloud apps increases risk, harms the user experience, and is prohibitively complex and expensive. The same is true when relying on castle-and-moat security models to secure the expanding network through ever-growing stacks of security appliances.

B2B 98

B2B IoT Internet of Things Modeling 98

Cloudera

AUGUST 12, 2021

Exploring new possibilities to develop intelligent connected devices and services is made easier by creating digital twins,accurate models to predict behaviour. These models are then used for anomaly detection or inferences about what will happen. . Risk Management. Conclusion.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. What is generative AI, what are foundation models, and why do they matter? Apply the controllership lens.

Finance 61

Finance Consulting Data-driven Risk 61

Jet Global

JUNE 22, 2023

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? We have compiled a list of resources to help you on your journey as a CFO.

KPI 105

KPI Finance Dashboards Digital Transformation 105

erwin

DECEMBER 3, 2020

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change. Watch the full webinar. New products and services. Hyper-competition.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Decision Management Solutions

JANUARY 3, 2023

Our CTO, Ryan Trollip, recently gave a webinar on claims automation with our partner Red Hat. We developed a visual blueprint of their manual decision-making – a decision model – to capture their best practices and business know-how. Solution – business-led continuous improvement.

Insurance 52

Insurance Machine Learning Dashboards Visualization 52

IBM Big Data Hub

SEPTEMBER 6, 2023

Negotiations and complicated financial models add depth and time to the budgeting process. Unanticipated risks Good budgeting plans for risks. Using an old budget can result in inadequate hedging strategies, poor financial decisions, exposure to unfavorable currency fluctuations or misjudged credit risks.

Forecasting 89

Forecasting Marketing Risk Sales 89

IBM Big Data Hub

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Generative AI models understand context, generate coherent and contextually appropriate responses, and handle customer inquiries and scenarios more effectively.

Consulting 58

Consulting Machine Learning Deep Learning Cost-Benefit 58

DataRobot Blog

AUGUST 10, 2022

NHS organisations are used to using workforce KPIs to manage staffing levels, but the real opportunity is being able to identify staff that are at risk of leaving post and to implement strategies to retain their much needed talent. On-demand webinar. Resetting urgent care performance and delivery.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Decision Management Solutions

AUGUST 19, 2021

To that end, we’re hosting two free webinars in September where you can learn how to build your own AI Captain. These will be fascinating and stimulating webinars that you’ll be glad you joined. How the approach drives down risk while improving efficiency. How you can build powerful machine learning models. Place: Zoom.

Technology 52

Technology Machine Learning Data Processing Data-driven 52

CIO Business Intelligence

APRIL 26, 2022

However, the homeowner is left to repair the damages—and, of course, there’s the risk that the police don’t arrive in time or that the thief knows a way around the sensor. How can I reduce the risk of a cyber attack against my company? Assuming the sensor is activated, the alarm goes off once someone breaks in. Hugh Njemanze Anomali.

IT 98

IT Big Data Risk Enterprise 98

Cloudera

OCTOBER 27, 2020

We’re collecting both into our upcoming webinar, our very first Fast Forward Research Roundup. Instead of relying on pre-trained models that may be less effective for domain-specific problems, what meta-learning proposes is to use an end-to-end deep learning algorithm. To aid that, we’ll also be releasing a lot more code as we go!

Deep Learning 59

Deep Learning Machine Learning Forecasting Uncertainty 59

Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. COVID-19 has forced a traditionally risk-averse industry to embrace new ML/AI technology. Alongside this transformation, insurers will also need to address risks and operational resiliency concerns.

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

Decision Management Solutions

MARCH 31, 2022

Originally developed as a model for B2C omni-channel marketing, this is increasingly being adapted for B2B sales and marketing also. We have all seen companies across the B2B landscape make big investments in these technologies over the last few years as COVID has disrupted traditional models. But it also takes digital decisioning.

B2B 72

B2B Sales Interactive Marketing 72

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

IBM Big Data Hub

OCTOBER 18, 2022

It’s more vexing than regulation, cyber risk, and even supply chain disruptions. Findings and lessons from these transformational leaders will be discussed in an upcoming AI for Good webinar at 10:00 AM ET on October 25, 2022. Learn how CEOs inspire new partnership models to turn sustainability goals into action.

Uncertainty 52

Uncertainty Strategy Measurement Digital Transformation 52

Jet Global

NOVEMBER 16, 2020

It helps them to react to small and large market fluctuations in the most cost-effective and strategic manner, modelling ”what-if” situations according to both known and unknown information. This is the view of Jamie Eagan, VP of Product Management of Longview products at insightsoftware, who spoke at a webinar held on Sept.

Forecasting 98

Forecasting Snapshot Finance Recreation/Entertainment 98

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Build, Deploy, and Operate ML Models Faster with CDP Machine Learning. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 79

Machine Learning Visualization Data Science Optimization 79

IBM Big Data Hub

JUNE 23, 2023

Though AI adoption may seem daunting, the flexibility and scalability of emerging foundational models will most certainly accelerate AI adoption as enterprises are empowered to put AI to work at the strategic core of F&A processes. What is generative AI, what are foundation models, and why do they matter?

Finance 65

Finance Reporting Cost-Benefit Modeling 65

DataRobot

MAY 26, 2021

In a marketing use case, the university can build a model to predict whether a prospective student will apply. It is essential for the university to track their students’ progress so they can pinpoint those who are at risk of failing one or more courses and determine what kind of assistance they need to graduate.

Cost-Benefit 52

Cost-Benefit Machine Learning Risk Interactive 52

Decision Management Solutions

OCTOBER 1, 2021

This webinar will show you how. You want accurate predictions about things such as your business environment, risk level, customer behavior, fraud, customer demand, and reliability. Join Decision Management Solutions and IBM on October 20th for a technical deep dive into the innovative Mayflower Project.

Machine Learning 52

Machine Learning ROI Risk Management 52

Smart Data Collective

JUNE 14, 2022

High risk means high reward but there are certain steps you can take that almost guarantee commercial success, particularly when it comes to an online business. Create Webinars. How Big Data Can Help Your Online Business Maximize Growth Opportunities. However, it doesn’t come without its difficulties.

Big Data 103

Big Data Data mining Metrics Sales 103

Jedox

OCTOBER 8, 2020

Though only twelve years ago, it truly highlighted the difference between possibility and probability and the danger and impact of tail risk. Join me on Thursday, October 29, 2020 at 1:15pm ET for a webinar where we’ll discuss in more depth what The New Normal for FP&A looks like and the lessons learned in this process.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Cloudera

MARCH 25, 2019

For example, risk assessment is crucial for financial institutions, because it sets the amount of capital required to absorb systemic instability. In healthcare, medical images are abundant and can be used to build a diagnostic model, but these images are rarely labeled properly. Active learning is one such approach.

Machine Learning 60

Machine Learning Deep Learning Risk Enterprise 60

CIO Business Intelligence

MAY 11, 2022

At the CISO level, we’re seeing an unprecedented focus on gathering information about attackers to better understand what’s at risk and how to mitigate threats. And finally, there’s an emerging model for understanding the context and relationships between the sequences of techniques attackers use. Chief Product Officer at Anomali.

Marketing 97

Marketing Data-driven Enterprise Risk 97

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk. Experiments.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41