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. That includes solid infrastructure with the core tenets of scale, security, and performance–all with optimized costs. That’s because data is often siloed across on-premises, multiple clouds, and at the edge.

Unstructured Data 142

Unstructured Data Optimization Data-driven Strategy 142

CIO Business Intelligence

APRIL 29, 2024

Kate Vitasek / University of Tennessee A University of Tennessee white paper — Unpacking Competitive Bidding Methods: The Essential ABCs of the Various RFX Methods — provides insight into the what, why, and how of the most popular bid methods. Why do transaction-based approaches fall short for more strategic relationships?

Modeling 89

Modeling Data Processing Measurement Risk 89

CIO Business Intelligence

JANUARY 22, 2024

EXL predicts that if organizations fully adopt a digital strategy and optimally leverage technology, they could reduce overall administrative expenses by 40% to 50% in the next five years. In addition, large language models can both summarize massive amounts of data and create new, original content.

Cost-Benefit 104

Cost-Benefit Digital Transformation Data-driven Interactive 104

CIO Business Intelligence

OCTOBER 23, 2023

In today’s uncertain economic landscape, it is no surprise that organizations are driven to optimize business costs. It’s a win-win scenario when moving to an as-a-service model. 2 Based on an IDC White Paper commissioned by Dell Technologies and Intel: The Business Value of APEX as a Service Solutions, August 2021.

Cost-Benefit 95

Cost-Benefit Uncertainty Digital Transformation Optimization 95

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 69

Digital Transformation Business Driver Optimization Strategy 69

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

DataRobot

OCTOBER 19, 2021

On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period. At the time, much of the available data was limited and inaccurate as a result of forecasting based on traditional—and outdated— epidemiological modeling. White Paper.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

CIO Business Intelligence

MAY 12, 2022

While viable general-purpose quantum computing is still a way off, D-Wave Systems has just deployed its third cloud-based quantum annealing system and has updated its coding tools to tackle new categories of enterprise optimization problems. Optimizing optimization. Gate-based vs. annealing quantum systems.

Optimization 94

Optimization Enterprise Optimization Data Processing Marketing 94

CIO Business Intelligence

AUGUST 18, 2023

For organizations seeking a collaborative win-win approach to outsourcing, the Vested sourcing business model is worth consideration. Pivot to an outcome-based business model Most outsourcing arrangements are traditionally built around a transactional model. Under the Vested model, the buyer specifies “what” they want.

Measurement 95

Measurement Modeling Risk Management 95

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 139

Machine Learning Forecasting Predictive Analytics Marketing 139

Cloudera

AUGUST 12, 2021

However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization. These models are then used for anomaly detection or inferences about what will happen. . Risk Management.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

CIO Business Intelligence

OCTOBER 23, 2023

To get the compute resources they need while also optimizing energy efficiency, some enterprises—and the service providers they partner with—look to position data centers in colder environments, far away from major population centers. For instance, you could deploy in Finland to take advantage of the local climate.

Enterprise 120

Enterprise Digital Transformation Strategy Data Processing 120

Smart Data Collective

NOVEMBER 20, 2022

One of the most significant benefits of leveraging analytics in manufacturing is with marketing optimization and automation. Several studies claim that Big Data has penetrated various aspects of everyday life, but it has also become vital for optimizing manufacturing processes. Optimize your website. Publish content frequently.

Manufacturing 134

Manufacturing Marketing Data Analytics Analytics 134

Smart Data Collective

APRIL 1, 2020

Big data is the lynchpin of the Software as a Service (SaaS) business model. Panoply, a big data innovator, has talked about a new model called Data as a Service, which is a variation of the same idea. Big data is used at every junction of the SaaS model. SaaS Model Relies on Big Data Innovation. So, the question comes.

Metrics 101

Metrics Big Data Machine Learning Optimization 101

DataRobot

OCTOBER 20, 2021

It is a key component of developing responsible AI, and promotes trust not only in AI concepts but also in individual AI models. allows stakeholders to evaluate the most suitable models for deployment and is paramount for organizations scaling and operationalizing AI systems. WHITE PAPER. What Is Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

CIO Business Intelligence

MARCH 22, 2022

To allow business units to access and use the data in a cost-effective, secure manner, you can create an analytics-as-a-service model. To learn more, read our white paper, “Moving AI solutions from concept to production.”. Consider deploying analytics-as-a-service . Intel® Technologies Move Analytics Forward.

Analytics 104

Analytics Key Performance Indicator Data Warehouse Data-driven 104

IBM Big Data Hub

MARCH 8, 2024

For example, on a 5G network, enterprises can create use cases or business models and assign them their own independent virtual network, dramatically improving the user experience for their employees by adding greater customizability and security.

IoT 103

IoT Broadcasting Internet of Things Technology 103

DataKitchen

FEBRUARY 21, 2023

By Robert Thanaraj , Ehtisham Zaidi , and 2 more. Gartner suggests in the article that successful Data Engineering teams have two crucial challenges. How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Cloudera

FEBRUARY 17, 2021

As a matter of fact, these new challenges gave way to tremendous opportunities for businesses to optimize their key success metrics by leveraging technology. Check out this awesome white paper that explains why Cloudera has the best Kafka ecosystem in the industry today. If you are interested, you can watch it on-demand as well.

Metrics 60

Metrics Digital Transformation Manufacturing Technology 60

Sisense

JUNE 24, 2021

Understanding data on learning habits and preferences is key to optimizing learning and development (L&D) outcomes in the evolving workplace. Learning Pool’s white paper Measuring the Modern Learner Experience explains how an LRS specifically stores xAPI statements, which at their most basic level combine an actor, a verb, and an object.

Analytics 83

Analytics Measurement Dashboards Optimization 83

CIO Business Intelligence

JUNE 21, 2023

We take a photo of your teeth with your phone and we generate a 3D model representation and we can project with AI what a straightening plan would look like, how long it would take, and what it would look like when we’re done.” Then, when that didn’t work, it hired it’s own team to build the proprietary models it needed.

Cost-Benefit 102

Cost-Benefit Modeling Risk Enterprise 102

Jet Global

APRIL 2, 2019

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions. Get Insight Now.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Jet Global

FEBRUARY 20, 2024

Inconsistent Data Drags Your Decision-Making Down With cloud migration and digital transformation fueling the drive for optimized supply chains, any lingering data management struggles become glaring bottlenecks. Here’s how clear data can transform your supply chain: Inventory Optimization : No more overstocking or stockouts.

Operational Reporting 52

Operational Reporting Reporting Digital Transformation Optimization 52

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Learn more about how AI fits into enterprise business (and how it doesn’t) in our white paper: From AI to BI: Understanding AI in Business.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. and could provide a model for the EU to follow. Both descriptive and predictive analytics models can enhance decisions for negotiating pricing, reducing the variation in supplies, and optimizing the ordering process as a whole.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Transfer learning applied to ResNet50 CNN Training results The final accuracy of the model, when tested on a subset of the training data, was 97%.

Breakeven 69

Breakeven Modeling Testing Marketing 69

O'Reilly on Data

APRIL 9, 2019

I can see the extensive data engineering that went into their model, but it’s never called out during the talk. An example of a moderately complicated data pipeline is to start optimizing your storage with a correctly used NoSQL database that uses a binary format like Avro. These models won’t go into production yet.”

Data Science 278

Data Science Big Data Management ROI 278

DataKitchen

MAY 10, 2021

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Best practices include continuous monitoring of machine learning models for degradations in accuracy. . See our white paper, “ A Guide to DataOps Tests ,” for more information.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Jet Global

OCTOBER 2, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

OCTOBER 7, 2020

While this makes D365 F&SCM data available for cleansing and preparation, the Azure Data Lake stack is complex as it comprises multiple tools and requires new skills, meaning for many customers it may be overkill, as we explained in a recent white paper. Enterprise Business Intelligence.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

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 88

Manufacturing Software Marketing Optimization 88

Occam's Razor

MARCH 23, 2010

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. This is sad. Even a little frustrating. Aim for this.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Smart Data Collective

FEBRUARY 28, 2023

Although Bridgewater Associates brought the risk parity fund to the market, they didn’t define the word until 2005, when Edward Qian of PanAgora Asset Management used it for the first time in a white paper he published. However, finetuning these models is a big part of the process.

Machine Learning 84

Machine Learning Risk Cost-Benefit Marketing 84

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. It is organized to create a top-down model that is used for analysis and reporting.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Occam's Razor

NOVEMBER 15, 2010

Go download the white papers. Google Analytics (sub optimally) calls this Other. This site simply engages in one night stands, and while I can think of some sites where that can still be the basis of a long term sustainable business model. Step #8: Can the Marketing Budget be optimized? Go to the add to cart page.

Reporting 139

Reporting Metrics Strategy Measurement 139

Alation

JANUARY 25, 2022

Just like Gartner, we’re confident building out this capability will optimize productivity, business optimization, and user experience. These two resources can help you get started: White paper: How to Evaluate a Data Catalog. Valuable metadata is the invisible architecture. What can we learn from these hidden systems?

Metadata 52

Metadata IT Metrics Data-driven 52