DataKitchen

JANUARY 2, 2021

ModelOps is “ at the core of an organization’s AI strategy ” and is “ focused on operationalizing AI models, including the full life cycle management of AI decision models and AI governance.” Blog: Deliver AI and ML Models at Scale with ModelOps. White Paper: Governance as Code. On-Demand Webinar: Why Do DataOps ?

Testing 130

Testing Machine Learning Modeling Reporting 130

DataKitchen

MAY 10, 2021

White Paper: DataOps is Not Just DevOps for Data . White Paper: 6 Steps to an Enterprise DataOps Transformation. White Paper: Launch Your DataOps Journey with the DataOps Maturity Model. White Paper: Should you Build or Buy a DataOps Solutions: The Case for a DataOps Superstructure.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

erwin

NOVEMBER 16, 2021

Many organizations are searching for a data modeling tool as they undertake application modernization initiatives to move from legacy infrastructure and migrate to the cloud. When an organization needs to design or redesign a database, the data modeling process comes into play. Finally, a data modeling tool needs to be easy to use.

Modeling 52

Modeling Unstructured Data Digital Transformation Business Objectives 52

DataRobot Blog

JULY 5, 2022

Utah Spatial Modeling Process. A Light Gradient Boosted Trees Regressor with Early Stopping model was trained without any geospatial data on 5,657 residential home listings to provide a baseline for comparison. By example, this model predicted a roughly $21,000 increase in price compared to its true price. White Paper.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

Decision Management Solutions

AUGUST 12, 2021

The combination of decision models, built using industry standard notation like the Decision Model and Notation or DMN standard, and business rules creates transparency in your decision making. This white paper shows how the combination can help you get beyond pilots and operationalize your AI.

Modeling 52

Modeling Management IT 52

CIO Business Intelligence

NOVEMBER 28, 2023

SASE is a framework that combines software-defined wide area networking (SD-WAN) and network security services like Cloud Access Security Brokers, Firewall-as-a-service, and Zero Trust into a single, cloud-delivered service model. Read the full White Paper now to understand the growing popularity of SASE. Network Security

Management 92

Management Cost-Benefit Enterprise Digital Transformation 92

Decision Management Solutions

AUGUST 11, 2021

Focusing on decisions and building decision models based on business know-how puts your whole ML/AI program on a business footing. Using industry standard notation like the Decision Model and Notation or DMN standard enables senior executives and others across the business, IT and ML/AI agree on the use cases to be addressed.

Modeling 52

Modeling Analytics Management IT 52

DataKitchen

MARCH 11, 2021

DataKitchen White Paper: DataOps is NOT Just DevOps for Data. DataKitchen Blog: Deliver AI and ML Models at Scale with ModelOps. DataKitchen On-Demand Webinar: Your Model is Not an Island: Operationalize Machine Learning at Scale with ModelOps. DataKitchen Blog: Improving Teamwork in Data Analytics with DataOps.

Analytics 130

Analytics Machine Learning Modeling Reporting 130

CIO Business Intelligence

MARCH 25, 2024

First, you serve as a role model. Karen Stine, head of data, Willis Towers Watson Willis Towers Watson So Stine focused on raising her profile in the data profession by writing white papers, posting thoughts online, working with professional organizations, seeking speaking engagements, and seizing high-profile opportunities at work. “It

IT 118

IT Strategy Management Insurance 118

KDnuggets

SEPTEMBER 20, 2019

This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. Download now.

Risk 50

Risk Machine Learning Management Modeling 50

CIO Business Intelligence

OCTOBER 13, 2023

We have agreements with more than 25,000 customers to use their data in an anonymized way to train our own models. Using this data to contextualize generative AI models results in very task-specific relevant outcomes for business users.

Contextual Data 130

Contextual Data Optimization Sales Technology 130

Decision Management Solutions

JUNE 4, 2021

A better approach with a much higher probability of success is to use decision modeling to explicitly and clearly define the decision-making you want to improve. There are many advantages of modeling decision requirements, including providing structure, enabling transparency, encouraging buy-in, and much more. Get started.

Analytics Technologies 52

Analytics Technologies Modeling Technology Key Performance Indicator 52

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

MAY 23, 2023

By Cathy Won, Consultant with eTeam, HPE Aruba Networking Contributor In a recent IDC NaaS survey 1 , sponsored by HPE, 71% of respondents agree or strongly agree as-a-service (aaS) consumption models offer better IT agility compared to traditional consumption models.

Finance 86

Finance Cost-Benefit Consulting Metrics 86

CIO Business Intelligence

FEBRUARY 12, 2024

For instance, while public cloud providers popularized pay-as-you-go consumption models that ushered in the broad shift from CapEx to OpEx, more organizations are renting IT infrastructure as-a-Service within their own datacenters rather than someone else’s. Today’s financial governance frameworks are not tailored for multicloud environments.

Cost-Benefit 94

Cost-Benefit Optimization Software Strategy 94

TDAN

SEPTEMBER 16, 2020

Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES.

Data Architecture 92

Data Architecture Metadata Data Strategy Strategy 92

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. Download the complete white paper now. Or, read on for a brief summary.

Risk Management 52

Risk Management Risk Management Metadata 52

DataKitchen

DECEMBER 7, 2021

If you can’t wait, check out this DataKitchen white paper, Build a Data Mesh Factory with DataOps. Data Teams: A Unified Management Model for Successful Data-Focused Teams, by Jesse Anderson. A distributed data mesh is a better choice. The book will be available from O’Reilly Media here.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Decision Management Solutions

OCTOBER 29, 2020

Decision modeling can be a “good-enough” representation of business problems, providing adequate information for automating decisions. And even if there may be a good reason for not automating every single decision, you would not be confident of those reasons unless you’ve done some level of modeling. You have wasted everyone’s time.”.

Modeling 52

Modeling Consulting Management Technology 52

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

CIO Business Intelligence

OCTOBER 30, 2023

Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data. This eliminates the hassles of data silos and makes data accessible for model training, analytics, and real-time inferencing.

Unstructured Data 134

Unstructured Data Optimization Data-driven Strategy 134

CIO Business Intelligence

MAY 25, 2023

The benefits of Lenovo Pro Small Business Store As noted in a recent Lenovo white paper: “SMBs seize opportunities in the cloud” , the COVID-19 pandemic forced SMBs to adopt new and flexible ways of working. It’s a Software as a Service model giving flexibility to businesses to scale up and down based on their requirements,” he said.

Digital Transformation 52

Digital Transformation Software ROI Risk 52

Smart Data Collective

AUGUST 21, 2019

Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making. Companies will place a greater emphasis on quantitative decision-making models than ever before, since new big data technology has made it more reliable.

Big Data 79

Big Data Modeling ROI Metrics 79

Decision Management Solutions

SEPTEMBER 29, 2020

This experience shows that it’s not that the ML models fail completely so much that the ML models end up stuck in a perpetual pilot – they kinda sorta work and people get excited about them but they never get deployed and operationalized. They never make any business difference.

Machine Learning 94

Machine Learning Predictive Analytics Modeling Consulting 94

CIO Business Intelligence

DECEMBER 18, 2023

The site is a model of green innovation, using solar power and smart energy storage solutions at every turn. During the daytime, the solar panels charge the batteries and supply power to the base station. In turn, the batteries supply power to the base station during the night.

Data Processing 83

Data Processing Reporting Technology Management 83

CIO Business Intelligence

JANUARY 22, 2024

In addition, large language models can both summarize massive amounts of data and create new, original content. To learn more about how generative AI and digital transformation can significantly reduce operational costs in the next five years, read our white paper.

Cost-Benefit 95

Cost-Benefit Digital Transformation Data-driven Interactive 95

CONTACT Software

OCTOBER 17, 2017

The white paper identifies the central mechanisms of digital offerings and identifies the 14 most important patterns and blueprints for IoT-driven business models. In order to be able to act, companies must invest in completely new alliances and partner models. Download White Paper.

Internet of Things 40

Internet of Things Modeling IoT B2B 40

IBM Big Data Hub

JANUARY 9, 2024

We’ve found in this new IBM-sponsored IDC white paper that the shift to delivering IT-as-a-service is foundational and extends the strategic transformation of IT infrastructure, adding even more value to the business. This is what the “fit-for-purpose” model of XaaS is out to achieve.

Digital Transformation 73

Digital Transformation Business Driver Optimization Strategy 73

DataRobot

OCTOBER 22, 2021

Investigators prioritize AI-flagged payments for detailed review and give the AI model feedback to further improve accuracy. WHITE PAPER. AI reviews all new transactions and automatically flags those with high risk or unusual characteristics that warrant investigation. Download Now.

Risk 98

Risk Risk Management Data-driven Management 98

Decision Management Solutions

JANUARY 16, 2020

It has become a standard must-read and machine learning professionals’ premier resource, delivering timely, relevant industry-leading articles, videos, events, white papers, and community. ” In his article, Eric warns, “Predictive models often fail to launch. In this month’s featured article, Eric Siegel, Ph.D.,

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

Decision Management Solutions

JUNE 18, 2020

Our experience is that this means modeling decisions. It means working directly with those who know how to make a decision to model it. Identifying in that model the pieces driven by regulation and policy so they can be automated with business rules.

Machine Learning 75

Machine Learning Predictive Analytics Data-driven Modeling 75

IBM Big Data Hub

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.

Machine Learning 69

Machine Learning Digital Transformation Modeling Data Collection 69

IBM Big Data Hub

OCTOBER 31, 2023

The increasing demands for computers to match the higher fidelity simulations and modeling workloads, more competition, and the need to bring products to market faster mean that EDA HPC environments are continually growing in scale. This third application is referred to as silicon lifecycle management (SLM).

Manufacturing 91

Manufacturing Software Marketing Optimization 91

CIO Business Intelligence

OCTOBER 23, 2023

IT professionals can play a pivotal role by strategically leveraging as-a-service models as a key part of their organizations, enabling them to contribute not only to cost efficiencies but also to their organizations’ sustainability goals. It’s a win-win scenario when moving to an as-a-service model. Actual Results will vary.

Cost-Benefit 80

Cost-Benefit Uncertainty Digital Transformation Optimization 80

IBM Big Data Hub

JANUARY 8, 2024

With digitization adopted by law firms and court systems, a trove of data in the form of court opinions, statutes, regulations, books, practice guides, law reviews, legal white papers and news reports are available to be used to train both traditional and generative AI foundation models by judicial agencies.

Management 90

Management IT Digital Transformation Metadata 90

Smart Data Collective

JANUARY 27, 2021

Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings. They tended to avoid using technical analysis models, because those models don’t tend to hold up well with traditional securities, such as stocks and bonds.

Machine Learning 137

Machine Learning Forecasting Predictive Analytics Marketing 137

DataRobot

AUGUST 16, 2021

But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias. Algorithmic bias can appear in both supervised and unsupervised AI models. White Paper. Deciding what bias metric is most relevant requires a contextual interpretation of a use case.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98