O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

CIO Business Intelligence

OCTOBER 27, 2023

Banking on product-based IT To develop the next generation of customer services, Lufthansa’s Digital Hangar has adopted new business operating models popular among organization’s pursuing digital transformation, Spannbauer says. The Digital Hangar also has a different operating model from previous digital teams at Lufthansa Group. “We

Digital Transformation 130

Digital Transformation B2B Measurement Modeling 130

Smart Data Collective

SEPTEMBER 13, 2023

Hosting Your Own Website and Network Businesses that want to enjoy full control over their IT infrastructure opt for setting up everything in-house. For instance, used Dell servers , which are refurbished, offer the same performance as Dell servers of the same make and model; however, they come for a fraction of the cost.

IT 99

IT Cost-Benefit Data Processing Software 99

IBM Big Data Hub

APRIL 15, 2024

To understand human behavior and how to change it, there are a few factors we must assess and measure, supported by the COM-B Behavior Change Wheel. First and foremost, we must reconsider our approach to initiatives, moving away from a solely awareness-focused, compliance-driven model.

Metrics 94

Metrics Measurement Risk Data Processing 94

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Should the parameters of an algorithm be leaked, a third party may be able to copy the model, causing economic and intellectual property loss to the owner of the model.

Insurance 72

Insurance Risk Testing Data Quality 72

AWS Big Data

AUGUST 21, 2023

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. If you are interested in exploring the multi-modal model, please reach out to your AWS specialist. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 94

Data Processing Experimentation Visualization Metrics 94

CIO Business Intelligence

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Unless the model is understood and followed, it could lead to data, applications, and cloud workloads being exposed to security vulnerabilities.

Management 98

Management Data Processing Risk Digital Transformation 98

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. Your Chance: Want to test a professional logistics analytics software? In a recent move towards a more autonomous logistical future, Amazon has launched an upgraded model of its highly-successful KIVA robots.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

AUGUST 18, 2023

Regulators also require organizations to test business recovery processes periodically and provide documented test results showing that SLAs have been met. Entities will also be expected to put appropriate cybersecurity protection measures in place. It offers more control and flexibility for comprehensive testing and validation.

Cost-Benefit 79

Cost-Benefit Testing Strategy Risk Management 79

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. These needs are then quantified into data models for acquisition and delivery.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

NOVEMBER 1, 2023

And alongside these major changes, Volvo is also resetting its business model and switching to direct sales in that part of the network of global dealers broadens their roles where instead of just selling Volvo cars, they become distributors. We were going to leave our data centers, and we did,” he says. “In

Software 130

Software Testing Digital Transformation Management 130

CIO Business Intelligence

MARCH 13, 2024

We did side-by-side testing,” he says. AI models are able to present best practice code systems to help junior developers learn and hone their skills.” In testing, gen AI was also particularly good at generating test cases and creating dummy data for testing. What if writing code wasn’t the real issue?”

IT 128

IT Consulting Testing Cost-Benefit 128

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

IBM Big Data Hub

OCTOBER 16, 2023

They differ from virtual machines in that they leverage the features and resources of the host OS versus requiring a guest OS in every instance. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

Data Processing 78

Data Processing Dashboards Metrics Software 78

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Cost-Benefit 97

Cost-Benefit Visualization Modeling Machine Learning 97

datapine

JUNE 18, 2019

A data-driven finance report is also an effective means of remaining updated with any significant progress or changes in the status of your finances, and help you measure your financial results, cash flow, and financial position. b) Measure Revenue Loss. Metrics used to measure these factors can include: Number of daily transactions.

Reporting 251

Reporting Metrics KPI Finance 251

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 332

Management Machine Learning Experimentation Metrics 332

Smart Data Collective

FEBRUARY 20, 2022

With these tools, your SaaS can: Merge and improve the application code constantly Automate the development, testing, and release of software Integrate operations and developer workflows And much more. AWS also offers a variety of AI model development and delivery platforms , as well as packaged AI-based applications. Easy to use.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

CIO Business Intelligence

MAY 12, 2022

The new machine is hosted at the University of Southern California’s Information Sciences Institute in Marina Del Rey, Calif.; But not all qubits, which are a measure of a quantum computer’s processing capacity, are equal. Optimizing optimization.

Optimization 98

Optimization Enterprise Optimization Data Processing Marketing 98

CIO Business Intelligence

JUNE 13, 2022

She says she believes organizations of all kinds, including her own, should be advancing their use of data to move beyond measuring outputs and even measuring outcomes to “get to impact, to driving long-term delta change.”. “I thought I was hired for digital transformation but what is really needed is a data transformation,” she says.

IT 144

IT Digital Transformation Strategy Internet of Things 144

CIO Business Intelligence

OCTOBER 13, 2022

One of the most important parameters for measuring the success of any technology implementation is the return on investment (ROI). Hosting the entire infrastructure on-premise will turn out to be exorbitant,” he says. This is followed by an end-to-end testing upgrading from component,” Kumar says. “If

ROI 132

ROI IT Sales Consulting 132

O'Reilly on Data

APRIL 22, 2020

For example, payday lending businesses are no doubt compliant with the law, but many aren’t models for good corporate citizenship. There aren’t simple standards and tests for ethical behavior, nor are you as likely to be called into court for acting unethically. Ethics is much more slippery.

Cost-Benefit 249

Cost-Benefit Finance Strategy Data-driven 249

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

Enterprise 89

Enterprise Data Warehouse Snapshot Cost-Benefit 89

CIO Business Intelligence

MARCH 14, 2022

Other organizations are taking innovative measures beyond compensation and flexible work schedules to retain IT talent. Cox implemented a mental fitness program that leverages The Hermann Brain Dominance cognitive model and the Positive Intelligence theory. In February, Kellogg hosted the first YOD-Always Growth Fest.

IT 145

IT Measurement Technology Enterprise 145

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 105

Modeling Risk Unstructured Data Enterprise 105

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. It’s generated by a host of sources in different ways. This is quantitative data. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Doing anything on the web without a Web Analytics Measurement Model. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views.

Marketing 126

Marketing Measurement Metrics Testing 126

DataKitchen

APRIL 13, 2021

Testing and Data Observability. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

APRIL 2, 2024

The US and the UK have signed an agreement to test the safety of large language models (LLMs) that underpin AI systems. In November last year, the Biden administration issued a long-awaited executive order that hammered out clear rules and oversight measures to ensure that AI is kept in check while also providing paths for it to grow.

Testing 103

Testing Modeling Data Processing Measurement 103

DataKitchen

NOVEMBER 29, 2021

Model developers will test for AI bias as part of their pre-deployment testing. Quality test suites will enforce “equity,” like any other performance metric. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate. Companies Commit to Remote.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. Interpretation of our machine learning model suggests buying $50k in building coverage and $100k in warehouse content coverage, as the latter significantly boosts predicted flood claim payouts.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

APRIL 11, 2024

Compliance with official policies through auditing tools and other measures is merely the final step. In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. The term governance can be slippery.

Risk 78

Risk Consulting Modeling Data Processing 78

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. In the traditional model communication between developers and business users is not a priority. Finalize testing.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

NOVEMBER 21, 2023

Amazon Bedrock and foundation models like Anthropic Claude are poised to enable a new wave of AI adoption by powering more natural conversational experiences. However, a key challenge that has emerged is tailoring these general purpose models to generate valuable and accurate responses based on extensive, domain-specific datasets.

Modeling 73

Modeling Big Data Data-driven Data Processing 73