CIO Business Intelligence

APRIL 5, 2023

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. David Linthicum, chief cloud strategy officer at Deloitte Consulting and a contributor to InfoWorld, will delve into strategies that deliver real business value – a mandate that every IT leader is facing now.

Strategy 82

Strategy Data Strategy Digital Transformation Data-driven 82

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

DataKitchen

MAY 14, 2024

Session 1: Setting the Stage for Data Excellence In our opening session, we will explore the foundational concepts of data testing versus data quality and discuss the critical role of data testing within the data journey. Reserve Your Spot!

Data Quality 195

Data Quality Testing Metrics Measurement 195

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

AWS Big Data

JULY 19, 2023

You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model. Declare the grain of your data.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

CIO Business Intelligence

AUGUST 16, 2023

ChatGPT is capable of doing many of these tasks, but the custom support chatbot is using another model called text-embedding-ada-002, another generative AI model from OpenAI, specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM).

Modeling 91

Modeling Enterprise Cost-Benefit Data Science 91

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models.

Cost-Benefit 69

Cost-Benefit Data Integration Data Architecture Manufacturing 69

IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Meaning, data architecture is a foundational element of your business strategy for higher data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Jet Global

JULY 14, 2020

Building financial models is a key function of the financial planning and analysis (FP&A) group and provides a powerful tool for analyzing a diverse set of possible scenarios. Budget modeling is perhaps the most widely applicable form of financial modeling. The Predictive Power of Financial Modeling.

Modeling 97

Modeling Finance Strategy Cost-Benefit 97

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. Right-size your model(s). But how do you get there? This playbook can help.

Data Lake 124

Data Lake Consulting Uncertainty Risk 124

Jet Global

JANUARY 4, 2020

Follow these recommendations, and then learn about the impact superior SAP reporting and automation had on one company: Automate Data Integration. Therefore, the best reporting takes the most work manually entering data, consolidating databases, and tracking down missing figures. Leverage Familiar Tools.

Reporting 98

Reporting Strategy Enterprise Data Integration 98

Jet Global

JANUARY 4, 2020

Follow these recommendations, and then learn about the impact superior SAP reporting and automation had on one company: Automate Data Integration. Therefore, the best reporting takes the most work manually entering data, consolidating databases, and tracking down missing figures. Leverage Familiar Tools.

Reporting 98

Reporting Strategy Enterprise Data Integration 98

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Data Integration as your Customer Genome Project.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

CIO Business Intelligence

MAY 14, 2024

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says.

IT 140

IT Data Processing Enterprise Modeling 140

Alation

JUNE 2, 2022

These include tracking, documenting, monitoring, versioning, and controlling access to AI/ML models. Currently, models are managed by modelers and by the software tools they use, which results in a patchwork of control, but not on an enterprise level. Data management can never be a pure, complete process. The challenge?

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

CIO Business Intelligence

FEBRUARY 16, 2024

Today, it is not enough just to innovate within one’s own vertical; to truly exploit the power of GenAI to transform workflows and drive competitive advantage, CIOs need to look outside their own organizations to get the scale, domain expertise, and speed required to develop fully integrated solutions. This is a challenge for many CIOs.

Strategy 129

Strategy Insurance Digital Transformation Enterprise 129

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Data and cloud strategy must align.

Data Architecture 99

Data Architecture Data Integration IoT Strategy 99

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. The enterprise data management vendor reported a total revenue of $1.5 billion and $1.6

Cost-Benefit 124

Cost-Benefit B2B Marketing Enterprise 124

CIO Business Intelligence

NOVEMBER 21, 2023

That’s where an IT strategy that frames shadow IT as an opportunity for improved collaboration can have a profound impact. Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 131

IT Risk Cost-Benefit Risk Management 131

AWS Big Data

APRIL 17, 2024

In this post, we discuss how the reimagined data flow works with OR1 instances and how it can provide high indexing throughput and durability using a new physical replication protocol. We also dive deep into some of the challenges we solved to maintain correctness and data integrity.

Optimization 115

Optimization Snapshot Metadata Cost-Benefit 115

DataKitchen

SEPTEMBER 21, 2023

Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

O'Reilly on Data

OCTOBER 11, 2022

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. It is difficult to answer that kind of question with nothing but data.

Data Integration 286

Data Integration Insurance Dashboards Modeling 286

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Machine Learning 276

Machine Learning Enterprise IoT Big Data 276

Sisense

SEPTEMBER 23, 2019

However, regardless of what you will use — Postman, supertest, pytest, JMeter, mocha, Jasmine, RestAssured , or any other tools of the trade — before coming up with any test method you need to determine what to test … API test strategy. Our first concern is functional testing — ensuring that the API functions correctly.

Testing 89

Testing Strategy Modeling ROI 89

Smarten

APRIL 19, 2024

OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). GPT – Is based on a Large Language Model (LLM). Benefits include customized and optimized models, data, parameters and tuning. It must be integrated with business systems to leverage available data.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

IBM Big Data Hub

DECEMBER 11, 2023

Just like any other IT solution, adopting a successful hybrid cloud strategy starts with examining how this cloud computing architecture can drive overall business objectives. This modern infrastructure model enables cloud-native application development (e.g., microservices ) and uses a container orchestration platform (e.g.,

Cost-Benefit 103

Cost-Benefit Data Processing Strategy Software 103

Data Virtualization

MARCH 7, 2024

Reading Time: 3 minutes As we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in.

Management 59

Management Data Integration Strategy Data Lake 59

Ontotext

MAY 16, 2024

There is a confluence of activity – including generative AI models, digital twins, and shared ledger capabilities – that are having a profound impact on enterprises. This is designed to identify business priorities and must be aligned with the data from initial use cases.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it. Why is this interesting?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies. What does a business intelligence analyst do?

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

Cloudera

DECEMBER 1, 2023

One notable example of a government initiative that has shaped the AI landscape is the United States’ federal AI strategy. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. This strategy has spurred a wave of AI innovation within the public sector.

Data Governance 108

Data Governance Data-driven Strategy Data Architecture 108

CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture.

IT 122

IT Experimentation IoT Data-driven 122

Jet Global

SEPTEMBER 22, 2022

Integrating the ability to quickly evaluate a wide range of scenarios with multiple variables into the planning process is essential to this. What if modeling gives you the ability to not just have a plan A, but also to evaluate plan B, plan C, plan D, and more. The Right Software Can Make “What If” Modeling Easy. Get a Demo.

Modeling 52

Modeling Forecasting Finance Uncertainty 52

CIO Business Intelligence

DECEMBER 6, 2023

Most are focusing on choosing the right foundation model to use, leaving the choice of large language models (LLM) orchestration as an afterthought. For readers short on time, you can skip to the section titled Strategies for effective LLM orchestration.

Enterprise 112

Enterprise Strategy Modeling Interactive 112