CIO Business Intelligence

APRIL 28, 2023

Data about who owes how much to whom is at the core of any bank’s business. At Bank of New York Mellon, that focus on data shows up in the org chart too. Chief Data Officer Eric Hirschhorn reports directly to the bank’s CIO and head of engineering, Bridget Engle, who also oversees CIOs for each of the bank’s business lines. “It’s very purposeful because a lot of the opportunities for us around data require tight integration with our technology,” says Hirschhorn.

Software 122

Software Data-driven Marketing Technology 122

David Menninger's Analyst Perspectives

APRIL 19, 2023

In my perspective on decision intelligence , I lamented the fact that business intelligence technologies have left the rest of the exercise to the reader for too long. Making a decision is a process that involves many steps and many people. Decision-making is so complicated and divorced from day-to-day business processes that organizations have had to create entirely separate teams to focus on the analytics and data to support it.

Analytics 298

Analytics Business Intelligence Technology IT 298

O'Reilly on Data

APRIL 25, 2023

This post is a brief commentary on Martin Fowler’s post, An Example of LLM Prompting for Programming. If all I do is get you to read that post, I’ve done my job. So go ahead–click the link, and come back here if you want. There’s a lot of excitement about how the GPT models and their successors will change programming. That excitement is merited. But what’s also clear is that the process of programming doesn’t become “ChatGPT, please build me an enterprise application to sell shoes.

Testing 325

Testing Software Strategy Enterprise 325

KDnuggets

APRIL 28, 2023

This article is meant to help you understand the art of data visualization and how to apply it to your work.

Visualization 141

Visualization IT Data Science 141

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Analytics Vidhya

APRIL 5, 2023

Introduction Image segmentation is a task in computer vision that involves dividing a particular image into multiple segments where each segment represents an object or region in the image. This task is important for applications such as object detection, image recognition, and autonomous driving. TensorFlow is an open-source framework used for building and training machine […] The post Deep Learning for Image Segmentation with TensorFlow appeared first on Analytics Vidhya.

Deep Learning 400

Deep Learning Analytics 400

Dataiku

APRIL 3, 2023

Thirteen years ago, 14 months after Geoffrey Hinton’s seminal deep learning tech talk , Google Chief Economist Hal Varian said that statisticians would be the sexiest job in the next 10 years. He was right, although we call them data scientists rather than statisticians. A new foundational machine learning model — deep learning — created demand for a new role to train those models.

Deep Learning 145

Deep Learning Machine Learning Modeling 145

Smart Data Collective

APRIL 20, 2023

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. A modern data infrastructure can help get more value from data by accelerating decision making, simplifying operations, and powering analytics. One of the many ways big data is helping companies operate more cost-effectively is through the construction of smart buildings.

Internet of Things 129

Internet of Things Cost-Benefit Big Data Data-driven 129

AWS Big Data

APRIL 26, 2023

This is a guest post co-written by Maik Leuthold and Nick Harmening from BMW Group. The BMW Group is headquartered in Munich, Germany, where the company oversees 149,000 employees and manufactures cars and motorcycles in over 30 production sites across 15 countries. This multinational production strategy follows an even more international and extensive supplier network.

Manufacturing 119

Manufacturing Forecasting Data Lake Big Data 119

KDnuggets

APRIL 18, 2023

In short, generative AI — and the prompts that power them — are everywhere. But beyond the basics, what do you really know about either? Perhaps you would find a concise, focused ebook on the topics useful.

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Analytics Vidhya

APRIL 5, 2023

“Immortality in Just 7 Years,” Predicts Ex-Google Engineer Ray Kurzweil, the man behind some of the most accurate predictions of our time, has made a jaw-dropping claim: “Humans will achieve immortality by 2030!” In a recent YouTube series, the Ex-Google engineer spoke of the incredible advancements in technology that will lead to eternal life.

Technology 400

Technology Analytics Deep Learning 400

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 is a global standard for financial messaging that aims to standardize electronic data interchange between financial institutions. It provides a structured way of exchanging data for financial transactions, including payments, securities and trade services. The International Organization for Standardization (ISO) developed the standard, which is being adopted by countries and financial institutions worldwide.

Risk Management 114

Risk Management Cost-Benefit Risk Data-driven 114

CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. (Sound familiar?) After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture

Machine Learning 138

Machine Learning Cost-Benefit Data-driven Strategy 138

Smart Data Collective

APRIL 17, 2023

In the past, large data sets about consumers were far more difficult to come by. For small businesses and agencies, this meant being at a significant disadvantage to larger businesses and corporations that could afford to conduct large-scale research. Today, however, this is far from the case and consumer data is more available than it ever has been before.

Marketing 123

Marketing Advertising Sales Strategy 123

Timo Elliott

APRIL 3, 2023

Here’s an extract of a short conversation I recently had with GPT-4, illustrated with images from Midjourney. What is a good analogy to explain the concept of “data fabric”? A good analogy to explain the concept of “data fabric” is a city’s transportation system. In a city, there are various means of transportation (roads, trains, buses, bike lanes, and walking paths) that allow people to move between different areas.

Data-driven 102

Data-driven Marketing Technology Enterprise 102

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

KDnuggets

APRIL 18, 2023

Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

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Analytics Vidhya

APRIL 15, 2023

A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks. AgentGPT is a no-code, browser-based solution that makes AI […] The post Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

Modeling 381

Modeling Analytics IT Technology 381

Dataiku

APRIL 13, 2023

Large language models (LLMs) are the technology behind popular products including OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Bard. Yet reports of employees leaking sensitive company data to ChatGPT raises major questions around properly leveraging LLMs in an enterprise setting.

Enterprise 98

Enterprise Modeling Reporting Technology 98

CIO Business Intelligence

APRIL 7, 2023

Tech salaries are on the rise thanks to a demand for talent across nearly every industry. Salaries increased 2.3% between 2021 and 2022, reaching an average tech salary of $111,348 per year, according to the 2023 Dice Tech Salary Report. Salaries vary by location, with the technologists reporting the highest average salaries of $144,962 per year in Silicon Valley, the original tech hub.

IT 134

IT Digital Transformation Testing Marketing 134

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IT

Boris Evelson

APRIL 20, 2023

The generative AI boom is fundamentally changing the landscape of vendor offerings. We believe one largely ignored area where generative AI will have a disruptive impact is in enterprise analytics, specifically business intelligence (BI).

Business Intelligence 97

Business Intelligence Enterprise Analytics 97

Juice Analytics

APRIL 7, 2023

We know that ChatGPT is remarkable at generating text. It is also a powerful tool for summarizing text. It can compress a long article down to the CliffsNotes version in an instant. How does it do with data? With some prompting guidance, I was able to teach ChatGPT an approach for summarizing a data table. Understanding what you are working with in data is often the first step before diving into analysis.

Metrics 97

Metrics Testing Modeling IT 97

KDnuggets

APRIL 3, 2023

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

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160

Analytics Vidhya

APRIL 8, 2023

Introducing FreedomGPT: The Unfiltered AI Powerhouse Freedom GPT is a groundbreaking open-source AI technology developed by Age of AI, an Austin-based AI venture capital firm. This state-of-the-art chatbot is programmed to recognize and prioritize ethical considerations without any censorship filter, unlike ChatGPT, which comes with censorship compliance and certain safety rules that prevent it from […] The post FreedomGPT: Personal, Bold and Uncensored Chatbot Running Locally on Your PC a

Technology 371

Technology Analytics IT Modeling 371

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics

Octopai

APRIL 24, 2023

Octopai is proud to announce the introduction of an automated connector for Google BigQuery. This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

CIO Business Intelligence

APRIL 19, 2023

It has been three years since COVID sent us into remote work, and we now find ourselves with a new challenge: employees who have never met in person. The hybrid work paradigm has exposed the importance of getting in front of evolving changes in the way employees will work together in the future, accelerating IT leaders’ need not only to address the impact of hybrid work and sharpen their tech strategies to support it , but also to help shape the future workplace culture, in large part through e

Strategy 133

Strategy Technology Management IT 133

O'Reilly on Data

APRIL 5, 2023

The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. Based on what we’ve seen so far, however, AI seems much more capable of replaying the past than predicting the future. That’s because AI algorithms are trained on data. By its very nature, data is an artifact of something that happened in the past.

Cost-Benefit 274

Cost-Benefit Data-driven Measurement Visualization 274

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. Does data visualization leave you feeling like the numbers are about to topple over on you?? If so, this step-by-step data visualization guide is for you!

Visualization 105

Visualization Dashboards Testing Reporting 105

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Analytics

KDnuggets

APRIL 3, 2023

This article will explain how RAPIDS can help you speed up your next data science workflow. RAPIDS cuDF is a GPU DataFrame library that allows you to produce your end-to-end data science pipeline development all on GPU.

Data Science 149

Data Science 149

Analytics Vidhya

APRIL 14, 2023

As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines. Microsoft Research Asia has taken this technology a step further by introducing VisualGPT. This AI model incorporates Visual […] The post Microsoft Releases VisualGPT: Combines Language and Visuals appeared first on Analytics Vidhya.

Visualization 354

Visualization Machine Learning Interactive Modeling 354

Analytics Vidhya

APRIL 8, 2023

Introduction Are you a data scientist looking for an exciting and informative read? Look no further, because I’ve got a treat for you! 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 354

Testing Analytics IT Data Science 354

Analytics Vidhya

APRIL 17, 2023

The US Department of Justice (DOJ) has recently asserted that Google’s monopoly in the tech industry may have delayed the development of innovations like ChatGPT. This statement brings attention to the growing concerns regarding the market dominance of tech giants and the potential repercussions of technological advancements and competition. The DOJ’s Findings on Google’s Monopoly […] The post Google’s Monopoly Hindered Innovations Like ChatGPT: US Department of Jus

Marketing 352

Marketing Technology Analytics Modeling 352

Advertiser: Data Robot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

Enterprise