IBM Big Data Hub

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. It offers more control and flexibility for comprehensive testing and validation.

Cost-Benefit 78

Cost-Benefit Testing Strategy Risk Management 78

CIO Business Intelligence

MARCH 13, 2024

So when on-boarding potential vendors, productivity has increased by 70 to 80% as a result of using gen AI to help analyze masses of documents. “We We did side-by-side testing,” he says. In testing, gen AI was also particularly good at generating test cases and creating dummy data for testing.

IT 127

IT Consulting Testing Cost-Benefit 127

IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

CIO Business Intelligence

OCTOBER 11, 2023

The bad news is that many of them are net-new, meaning that the mass of customers still using its legacy ECC system, or running its modern S/4HANA system on-premises, are not migrating as quickly as the company would like to cloud offerings such as Rise with SAP , its subscription package of licensing, hosting, and application management.

Data Processing 121

Data Processing Marketing Testing Enterprise 121

Smart Data Collective

SEPTEMBER 13, 2022

” Software as a service (SaaS) is a software licensing and delivery paradigm in which software is licensed on a subscription basis and is hosted centrally. It gives the customer entire shopping cart software and hosting infrastructure, allowing enterprises to launch an online shop in a snap. Everything you need is in one place.

Cost-Benefit 103

Cost-Benefit Data Processing Software Data-driven 103

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 6] Debugging may focus on a variety of failure modes (i.e., Sensitivity analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Test the feature To test this feature, run the producer DAG. For detailed release documentation with sample code, visit the Apache Airflow v2.4.0 After the data has been retrieved, it’s stored in the S3 bucket.

Testing 97

Testing Experimentation Management Metadata 97

IBM Big Data Hub

APRIL 18, 2024

According to Andreessen Horowitz (link resides outside IBM.com ) , in 2023, the average spend on foundation model application programming interfaces (APIs), self-hosting and fine-tuning models across surveyed companies reached USD 7 million. Code (62%) : Gen AI helps developers write code more efficiently and with fewer errors.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Flexibility. Learn more about CDP and how Cloudera supports Financial Services Modernization.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

Cloudera

JULY 15, 2021

Further information and documentation [link] . For customers to gain the maximum benefits from these features, Cloudera best practice reflects the success of thousands of -customer deployments, combined with release testing to ensure customers can successfully deploy their environments and minimize risk.

Data Processing 96

Data Processing Metadata Testing Management 96

datapine

SEPTEMBER 29, 2022

Data processes that depended upon the previously defective data will likely need to be re-initiated, especially if their functioning was at risk or compromised by the defected data. These processes could include reports, campaigns, or financial documentation. Accuracy should be measured through source documentation (i.e.,

Data Quality 241

Data Quality Metrics Data-driven Management 241

Laminar Security

DECEMBER 11, 2023

DDR detects anomalous or suspicious data behavior that may indicate insider threats or other data security risks. SIEM can also lack the context and intelligence to identify insider threats or other data security risks. What are the risks and challenges that you face in protecting the data?

Behavioral Analytics 55

Behavioral Analytics Machine Learning Risk Cost-Benefit 55

CIO Business Intelligence

JULY 14, 2023

Fine-tuning applies to both hosted cloud LLMs and open source LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach. That creates a vector index for the data source—whether that’s documents in an on-premises file share or a SQL cloud database—and an API endpoint to consume in your application.

Modeling 92

Modeling Machine Learning Cost-Benefit B2B 92

IBM Big Data Hub

MAY 26, 2023

With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. Amazon Textract can be leveraged to extract printed text, handwriting and data from any document or image and then passed into Amazon Comprehend Medical for redaction.

Consulting 77

Consulting Cost-Benefit Optimization Machine Learning 77

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Working software over comprehensive documentation. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Without further ado, let’s begin. What Is Agile Analytics And BI?

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. We introduce the integration of Ray into the RAG contextual document retrieval mechanism. zst`; do zstd -d $F; done rm *.zst Outputs[?

Data Processing 107

Data Processing Dashboards Machine Learning Management 107

Smart Data Collective

SEPTEMBER 26, 2019

Each one of us contributes towards the generation of data in the form of images, videos, text messages, documents, emails and so much. These approaches operate under the assumption that validation must be carried out as soon as possible consequently minimizing exposure risk as in the course of any project. Software Testing.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

bridgei2i

JULY 28, 2020

Today, I will be the host for our podcast, AI to impact, which covers everything about digital and AI, featuring some remarkable thought leadership, expert point of views and commentaries from a gamut of industry leaders. We need people who can test. Transcript. Anushruti: Hi, everyone. Thank you for tuning in. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

IBM Big Data Hub

SEPTEMBER 7, 2023

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Modeling 104

Modeling Risk Unstructured Data Enterprise 104

IBM Big Data Hub

APRIL 11, 2024

In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). They identify international coordination and safety regulation as critical to preventing risks related to an “AI race.”

Risk 77

Risk Consulting Modeling Data Processing 77

CIO Business Intelligence

NOVEMBER 23, 2023

Adopt a protocol to test updates first Initial reports from Optus connected the outage to “changes to routing information from an international peering network” in the wake of a “routine software upgrade.” Here are some of the key lessons of this latest high-profile IT outage.

Testing 108

Testing Risk Software Strategy 108

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Jet Global

MARCH 22, 2023

Companies traditionally build their own analytics solutions when they: Have significant IT resources to build, test, correct, and maintain an analytics platform. Buying: With outsourced analytics solutions, there’s no need to worry about product maintenance, training, or documentation, since vendors extensively document their platforms.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

IBM Big Data Hub

FEBRUARY 26, 2024

With this expanded observability, incidents can be prevented in the design phase or identified in the implementation and testing phase to reduce maintenance costs and achieve higher productivity. Efficient cloud migrations McKinsey predicts that $8 out of every $10 for IT hosting will go toward the cloud by 2024.

Cost-Benefit 98

Cost-Benefit Metadata Data Governance Reporting 98

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 78

Insurance Risk Data-driven Modeling 78

O'Reilly on Data

JANUARY 17, 2023

If you’re a professional data scientist, you already have the knowledge and skills to test these models. Especially when you consider how Certain Big Cloud Providers treat autoML as an on-ramp to model hosting. Is autoML the bait for long-term model hosting? That is: what model risk does the company face?)

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

CIO Business Intelligence

AUGUST 16, 2023

S&P Global is testing Llama 2, Biem says, as well as other open source models on the Hugging Face platform. John Carey, MD of the technology solutions group at global consulting firm AArete, uses Document AI, a new model now in early release from Snowflake that allows people to ask questions about unstructured documents.

Modeling 95

Modeling Enterprise Cost-Benefit Marketing 95

AWS Big Data

NOVEMBER 21, 2023

RAG allows you to retrieve relevant data from databases or document repositories to provide helpful context to large language models (LLMs). In this post, we demonstrate building a serverless RAG workflow by combining the vector engine for Amazon OpenSearch Serverless with an LLM like Anthropic Claude hosted by Amazon Bedrock.

Modeling 70

Modeling Big Data Data-driven Data Processing 70

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. A host of open-source libraries. Deep Dive into DataRobot Notebooks. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

AUGUST 30, 2022

When a large organization depends on a highly customized ERP system, any change invites a host of potential perils from go-live failures to endless testing cycles. The process is risky enough when upgrading a single legacy ERP – with two , the risks more than double. Doubling down on risky business.

Recreation/Entertainment 85

Recreation/Entertainment IT Finance Strategy 85

CIO Business Intelligence

SEPTEMBER 2, 2022

When a large organization depends on a highly customized ERP system, any change invites a host of potential perils from go-live failures to endless testing cycles. The process is risky enough when upgrading a single legacy ERP – with two , the risks more than double. Doubling down on risky business.

Recreation/Entertainment 83

Recreation/Entertainment IT Finance Strategy 83

AWS Big Data

MARCH 14, 2023

By being proactive, organizations can significantly reduce the risk of being victimized by cyber adversaries. Taking the tool for a test drive With an understanding of these fundamental concepts, let’s navigate to the security analytics interface in OpenSearch Dashboards. To learn more about security analytics, see documentation.

Analytics 59

Analytics Dashboards Visualization Testing 59

datapine

OCTOBER 14, 2020

Your Chance: Want to test interactive dashboard software for free? Your Chance: Want to test interactive dashboard software for free? They all host invaluable data for your business. Your Chance: Want to test interactive dashboard software for free? Your Chance: Want to test interactive dashboard software for free?

Dashboards 235

Dashboards Interactive Reporting KPI 235

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. The use case of this bank required tracking of portfolio risk using high speed joins of position risk, index and fund composition, and other risk factors.

Data-driven 72

Data-driven Data Warehouse Data Processing Marketing 72

DataRobot Blog

DECEMBER 20, 2022

The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception.

Management 59

Management Machine Learning Optimization Modeling 59

datapine

FEBRUARY 23, 2023

To get a clearer impression, here is a visual overview of which chart to select based on what kind of data you need to show: **click to enlarge** Your Chance: Want to test modern data visualization software for free? Make sure your audience understands the timeframe portrayed and try to document or label this applied filter somewhere.

Visualization 177

Visualization Dashboards Sales Measurement 177

Domino Data Lab

JULY 2, 2019

People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. several aspects of that earlier U Washington project seem remarkably similar, including the experimental design, train/test data source, and even the slides. PyBay , Aug 15-18, SF.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105