CIO Business Intelligence

NOVEMBER 19, 2024

However, they are used as a prominent component of agentic AI. As we look to identify uses for AI Agents, we will find many opportunities. You can use these agents through a process called chaining, where you break down complex tasks into manageable tasks that agents can perform as part of an automated workflow.

Testing 135

Testing Cost-Benefit Interactive ROI 135

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

O'Reilly on Data

NOVEMBER 28, 2023

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed. What’s the reality? Only 4% pointed to lower head counts.

Enterprise 342

Enterprise Testing Modeling Reporting 342

Analytics Vidhya

APRIL 8, 2023

Introduction Are you a data scientist looking for an exciting and informative read? My latest blog post is jam-packed with fun and innovative experiments that I conducted with ChatGPT over the weekend. In this experiment, I put ChatGPT to the test and challenged it to […] The post How to Use ChatGPT as a Data Scientist?

Testing 358

Testing Analytics IT Data Science 358

AWS Big Data

DECEMBER 18, 2024

In this blog post, well dive into the various scenarios for how Cohere Rerank 3.5 OpenSearch Service offers robust search capabilities, including URI searches for simple queries and request body searches using a domain-specific language for complex queries. OpenSearch Service natively supports BM25. See Cohere Rerank 3.5

Metrics 97

Metrics Modeling Data Processing Machine Learning 97

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

O'Reilly on Data

OCTOBER 13, 2020

In contrast, many production AI systems rely on feedback loops that require the same technical skills used during initial development. This distinction assumes a slightly different definition of debugging than is often used in software development. Proper AI product monitoring is essential to this outcome. I/O validation.

Management 314

Management Machine Learning Metrics Modeling 314

AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. They aren’t using analytics and AI tools in isolation.

Data Analytics 105

Data Analytics Analytics Data Lake Data Quality 105

AWS Big Data

NOVEMBER 22, 2024

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment ( OpenSearch is now part of Linux Foundation ). to OpenSearch 2.x),

Snapshot 98

Snapshot Metadata Recreation/Entertainment Data Processing 98

Rocket-Powered Data Science

FEBRUARY 15, 2023

It is important to realize that the usual “hype cycle” rules prevail in such cases as this. Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

AUGUST 9, 2021

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Source: Thoughtworks.

Testing 246

Testing Data Lake Metadata Publishing 246

datapine

SEPTEMBER 16, 2022

Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

AWS Big Data

DECEMBER 16, 2024

The need to integrate diverse data sources has grown exponentially, but there are several common challenges when integrating and analyzing data from multiple sources, services, and applications. First, you need to create and maintain independent connections to the same data source for different services.

Visualization 95

Visualization Data Processing Testing Publishing 95

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. A professional dashboard maker enables you to access data on a single screen, easily share results, save time, and increase productivity. That’s why we welcome you to the world of interactive dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . Intermediates: Build on your successes and work to scale your IDB capabilities across the enterprise using agile and adaptive DevOps, DataOps, and ModelOps processes. .

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

DataKitchen

FEBRUARY 1, 2021

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. These benefits are hugely important for data professionals, but if you made a pitch like this to a typical executive, you probably wouldn’t generate much enthusiasm.

Business Objectives 245

Business Objectives Cost-Benefit Measurement Metrics 245

DataKitchen

AUGUST 13, 2021

If a company can use data to identify compounds more quickly and accelerate the development process, it can monetize its drug pipeline more effectively. DataOps automation provides a way to boost innovation and improve collaboration related to data in pharmaceutical research and development (R&D).

Testing 246

Testing Dashboards Marketing Measurement 246

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Domino Data Lab

FEBRUARY 4, 2021

Container technology has changed the way data science gets done. The original container use case for data science focused on what I call, “environment management”. Container orchestration has the following benefits in data science work: Remove central IT bottlenecks in the MLOps life cycle.

Modeling 130

Modeling Data Science Data Processing Software 130

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. We use Anthropic’s Claude 2.1 We use Anthropic’s Claude 2.1

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? Maybe it’s surprising that ChatGPT can write software, maybe it isn’t; we’ve had over a year to get used to GitHub Copilot, which was based on an earlier version of GPT. A quick scan of the web will show you lots of things that ChatGPT can do.

IT 348

IT Modeling Testing Risk 348

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. What Is Data Interpretation? Table of Contents.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

JULY 23, 2024

The SEC had charged the two firms with making misleading statements about their use of AI for investment advice, and the companies paid $400,000 in the settlement. Beyond regulatory problems, companies overstating their AI use could expose themselves to shareholder lawsuits and a loss in customer trust, Shargel adds.

Uncertainty 131

Uncertainty Machine Learning Business Intelligence Marketing 131

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Domino Data Lab

JULY 15, 2021

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. Snowflake ).

Data Science 145

Data Science Visualization Enterprise Modeling 145

CIO Business Intelligence

JUNE 19, 2024

Microsoft has added generative artificial intelligence and other enhanced features to its quantum-computing platform as part of a larger strategy to deliver the game-changing technology to a broader range of users — in this case, the scientific community.

Strategy 137

Strategy Consulting Optimization Technology 137

CIO Business Intelligence

NOVEMBER 20, 2024

At its Microsoft Ignite 2024 show in Chicago this week, Microsoft and industry partner experts showed off the power of small language models (SLMs) with a new set of fine-tuned, pre-trained AI models using industry-specific data. The company notes that customers can also use the models to configure agents in Microsoft Copilot Studio.

Manufacturing 122

Manufacturing Marketing Finance Modeling 122

AWS Big Data

AUGUST 19, 2024

In today’s data-driven world, the ability to seamlessly integrate and utilize diverse data sources is critical for gaining actionable insights and driving innovation. Use case Consider a large ecommerce company that relies heavily on data-driven insights to optimize its operations, marketing strategies, and customer experiences.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

Smarten

FEBRUARY 19, 2025

Use Predictive Analytics for Fact-Based Decisions! It must be based on historical data, facts and clear insight into trends and patterns in the market, the competition and customer buying behavior. Like every other business, your organization must plan for success. billion USD in 2022 and is expected to reach $38 billion USD by 2028.

Predictive Analytics 62

Predictive Analytics Analytics Predictive Modeling Forecasting 62

Domino Data Lab

FEBRUARY 19, 2021

These features combine to make spaCy better than ever at processing large volumes of text and tuning your configuration to match your specific use case in a way that provides better accuracy. That blog can be found here. ", "David joined Domino Data Lab in February 2020." Bench-marking data from [link].

Enterprise 119

Enterprise Data Science Modeling Visualization 119

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The paper determined the technique not fit for clinical use.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Cloudera

NOVEMBER 3, 2021

Have you ever asked a data scientist if they wanted their code to run faster? While deep learning is an excellent use of the processing power of a graphics card, it is not the only use. of respondents reported to use CNN’s. You would probably get a more varied response asking if the earth is flat. In fact only 43.2%

Deep Learning 117

Deep Learning Machine Learning Data Science Cost-Benefit 117

Cloudera

JULY 27, 2021

Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype. These fleshed-out web applications are representative end products of data science work. There are many uses for interactive applications in the machine learning development lifecycle.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps. production).

Testing 246

Testing Metrics Measurement Dashboards 246