Analytics Vidhya

MAY 30, 2024

In most of the recent applications developed across many problem statements, LLMs are part of it. Most of the NLP space, including Chatbots, Sentiment Analysis, Topic Modelling, and many more, is being handled by Large Language […] The post How to Build Reliable LLM Applications with Phidata?

Modeling 303

Modeling Analytics IT 303

CIO Business Intelligence

DECEMBER 18, 2024

As part of the new release, Salesforce said that it was adding new agent skills, such as Sales Development and Sales Coaching, for use cases related to sales. These skills join a fleet of existing skills such as lead development and personal shopper. New agent skills in Agentforce 2.0

Enterprise 98

Enterprise IT Sales Metadata 98

AWS Big Data

DECEMBER 23, 2024

As Fitch Group continues to innovate and grow, their robust Kafka infrastructure provides a solid foundation for future expansion and the development of new data-driven services, ultimately enhancing their ability to deliver timely and accurate financial insights to their clients.

Data-driven 98

Data-driven Management Risk Big Data 98

AWS Big Data

OCTOBER 17, 2024

Amazon Managed Service for Apache Flink Studio allows you to create a notebook, which is a web-based development environment. With notebooks, you get a simple interactive development experience combined with the advanced capabilities provided by Flink.

Data Analytics 136

Data Analytics Management Analytics Recreation/Entertainment 136

O'Reilly on Data

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. To make ML applications production-ready from the beginning, developers must adhere to the same set of standards as all other production-grade software.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

JANUARY 14, 2025

Skill mismatches ( 31% ) and inadequate training and development opportunities ( 29% ) underscore the demand for talent as well as the difficulty in finding candidates with the right skills. Organizations have adopted several strategies to acquire and develop talent, as illustrated in the bar chart below.

Strategy 124

Strategy IT Marketing Technology 124

O'Reilly on Data

NOVEMBER 13, 2018

Developers have taken notice and are beginning to learn about ML. million users), we’re finding strong interest in machine learning topics. At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. What machine learning means for software development”.

Machine Learning 277

Machine Learning Risk Management Statistics 277

O'Reilly on Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Karpathy argues that we’re at the beginning of a profound change in the way software is developed. In short, we can use machine learning to automate software development itself. Are we seeing the first steps toward the adoption of Software 2.0?

Software 333

Software Machine Learning Risk Data-driven 333

CIO Business Intelligence

MARCH 25, 2025

The time required to familiarize oneself with the requirements and consequences of the various laws and to develop and roll out your organizations strategies and solutions should also not be underestimated. The topic of compliance is often dealt with alongside day-to-day business. Process-related guidelines must be created for them.

IT 95

IT Key Performance Indicator Risk Reporting 95

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. Readers who pick up this book can expect to find a textbook containing every relevant detail a developer should know about SQL.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

DECEMBER 12, 2024

Data hygiene, data quality, and data security are all topics that weve been talking about for 20 years, Peterson says. Everybody wants iterative, fast fail, fast development, but nobody wants to fail. If I had to give one piece of tactical advice, it would be like a slow burn, consistent investment and not productizing.

IT 134

IT Data Quality Experimentation Machine Learning 134

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. At the 2018 Strata Data London, data privacy and GDPR were big topics.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

O'Reilly on Data

JUNE 18, 2024

We’re going to take a look at a Digital Green ’s Farmer.Chat , a generative AI bot that was designed to help small-scale farmers in developing countries access critical agricultural information. Developing countries have frequently developed technical solutions that would never have occurred to “first world” engineers.

Testing 323

Testing Software Modeling Measurement 323

O'Reilly on Data

JUNE 11, 2024

It would have been very difficult to develop the expertise to build and train a model, and much more effective to work with a company that already has that expertise. While most users think of O’Reilly as a resource for software developers and IT departments, our platform contains many other kinds of information. What is the goal?

Modeling 342

Modeling Experimentation Interactive Data-driven 342

CIO Business Intelligence

NOVEMBER 21, 2024

The Law provides a set of frameworks that are as comprehensive as the EU AI Act, with the intention of balancing the need for innovative AI development with the need to safeguard society. Recognizing the global economic importance of AI, India’s approach is to encourage AI development while monitoring AI usage to prevent societal abuse.

Consulting 120

Consulting Risk Risk Management Marketing 120

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

David Menninger's Analyst Perspectives

MAY 15, 2025

Founded as Software Development Laboratories in 1977, Oracle is a behemoth in the software industry, generating more than $50 billion in revenue in its fiscal year 2024. These topics retained emphasis at this years event. for several years before adopting the name Oracle in 1982.

Data Lake 130

Data Lake Data Warehouse Machine Learning Software 130

O'Reilly on Data

JANUARY 16, 2024

I’m personally interested in this topic since I am a professor who researches human-computer interaction, user experience design, and cognitive science , so AI voice interfaces are fascinating to me. That in turn got me curious about the concept of syndication in the television business, so ChatGPT dived more into this topic.

Interactive 292

Interactive Recreation/Entertainment Visualization IT 292

O'Reilly on Data

MARCH 12, 2024

AI introduces many new problems that developers and IT staff will need to deal with. Languages change slowly, but the topics about which you want your model to be conversant will not. Although we’re moving in the right direction, with AI the stakes are higher. This year, we’ll see AI incorporated into applications of all kinds.

Software 58

Software Modeling Management Enterprise 58

CIO Business Intelligence

MAY 2, 2025

To this end, BMW plans to further develop the virtual factory by combining the actual data from the plants with planning data to enable a holistic view of production. I can meet with the necessary colleagues at any time in collaboration sessions and discuss topics, he says. The advantages, he says, are obvious.

Optimization 105

Optimization Data Science Strategy Modeling 105

CIO Business Intelligence

MARCH 4, 2025

Salesforce is launching a new marketplace named AgentExchange for its agents and agent-related actions, topics, and templates to increase adoption of AI agents and allow its partners to monetize them. Currently, partners can list prompt templates and topics, Salesforce said. What is AgentExchange?

Metadata 64

Metadata Manufacturing Finance Software 64

AWS Big Data

OCTOBER 17, 2024

Attention all developers, architects, and IT professionals! Curated content – We hand-pick the most important topics around OpenSearch Service and break them down into simple-to-follow, informative videos.

Analytics 115

Analytics Optimization Data-driven Data Architecture 115

AWS Big Data

FEBRUARY 13, 2025

MSK Replicator also replicates Kafka metadata , including topic configurations, access control lists (ACLs), and consumer group offsets. Migration strategy: All at once vs. wave Two migration strategies can be adopted: All at once All topics are replicated to the target cluster simultaneously, and all clients are migrated at once.

Metrics 67

Metrics Metadata Strategy Management 67

DataKitchen

APRIL 13, 2021

DataOps is a hot topic in 2021. Production Monitoring and Development Testing. DataKitchen – Enables users to add tests at every step in their production and development pipelines. . Development Testing Only. Liquibase — Database release automation for software development teams. Telm.ai — Telm.ai Azure DevOps.

Testing 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

DECEMBER 17, 2024

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. Consultants can help you develop and execute a genAI strategy that will fuel your success into 2025 and beyond. In 2025, thats going to change.

Experimentation 98

Experimentation ROI Risk Data Quality 98

CIO Business Intelligence

APRIL 30, 2025

Cloud architects are IT specialists who have the skills and knowledge to navigate complex cloud environments, lead teams, develop and implement cloud strategies, and ensure cloud systems stay up to date and run smoothly. These roles will help you gain the right skills, knowledge, and expertise to continue down a cloud-related career path.

Testing 108

Testing Cost-Benefit Optimization Software 108

AWS Big Data

DECEMBER 5, 2024

Hydro uses provisioned MSK clusters in development and production environments. Solution overview The MSK clusters in Hydro are configured with a PER_TOPIC_PER_BROKER level of monitoring, which provides metrics at the broker and topic levels. These metrics help us determine the attributes of the cluster usage effectively.

Metrics 97

Metrics Dashboards Testing Optimization 97

CIO Business Intelligence

NOVEMBER 4, 2024

Mark Read, CEO of global advertising giant WPP recently told shareholders: “AI will also offer the ability to develop new business and financial models.” Jacknis advises CIOs to focus on the three reasons why AI is such a hot topic. Langer believes CIOs should seize this opportunity to inform leadership about AI-driven possibilities.

Business Driver 111

Business Driver Advertising Data-driven Modeling 111

CIO Business Intelligence

DECEMBER 20, 2024

While employee training is a must to avoid these behaviors, in some cases it goes directly against the desires of the development team to maximize productivity and meet schedule deadlines.Ive talked to development executives who have encouraged the use of public tools and repos for their employees who are stuck.

Risk 105

Risk Measurement Interactive Modeling 105

Rocket-Powered Data Science

SEPTEMBER 25, 2022

I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. For this, I received a complimentary copy of the book and no other compensation.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

O'Reilly on Data

MARCH 31, 2020

You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

MAY 23, 2025

Holger Blumberg, CIO of Krones AG, also sees advantages in employee development. OT areas have data sovereignty When it comes to the central topic of data management, it is clear that in most cases the sovereignty lies in the OT areas. In addition, it is important to develop a common language.

IT 102

IT Cost-Benefit Manufacturing Reporting 102

datapine

SEPTEMBER 16, 2022

A mere Amazon search of this topic returns over 15k items. These projects explore different topics which include the Olympics, the Royals, myths, presidents, and more, exploring different technologies, visualization, and design techniques to show that data viz is an equal part of science and art. Not sure where to start?

Visualization 304

Visualization Dashboards Data-driven Statistics 304

DataKitchen

APRIL 11, 2024

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies.

Statistics 154

Statistics Manufacturing Data Processing Data Quality 154

O'Reilly on Data

SEPTEMBER 15, 2020

User stakeholders are interested in benefiting from the platform’s functionality: staying up-to-date, quickly finding new people and topics to follow, and engaging with family and friends. Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

datapine

DECEMBER 11, 2019

Before we explore our essential software as a service trends for 2020, it’s important to consider what defines SaaS as not only a technological development, but as a working business model. Branding developments . SaaS: The Key Characteristics. Instead, they have the option of utilizing various pricing structures. Vertical SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Rocket-Powered Data Science

JUNE 17, 2022

What I missed in-person was more than compensated for by the incredible online presentations by Splunk leaders, developers, and customers. For example, I wrote this in 2021: “Observability emerged as one of the hottest and (for me) most exciting developments of the year. Developers can start here. Observability on-demand).

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238