April, 2023

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BNY Mellon banks on AI to improve master data

CIO Business Intelligence

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 140
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Make Better Decisions with Collaborative Analytics

David Menninger's Analyst Perspectives

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 306
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Real World Programming with ChatGPT

O'Reilly on Data

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 330
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Data Visualization Best Practices & Resources for Effective Communication

KDnuggets

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

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Deep Learning for Image Segmentation with TensorFlow

Analytics Vidhya

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.

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Bot Experience Engineer Is the Sexiest Job of the Next 10 Years

Dataiku

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.

More Trending

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How Smart Buildings Use Data to Help Businesses Cut Costs

Smart Data Collective

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.

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Eye of the Beholder

O'Reilly on Data

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.

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Mastering Generative AI and Prompt Engineering: A Free eBook

KDnuggets

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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Futurist Ray Kurzweil Claims Humans Will Achieve Immortality by 2030

Analytics Vidhya

“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.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

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.

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Building a vision for real-time artificial intelligence

CIO Business Intelligence

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

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The Role of Data in Understanding Demographics for Effective Marketing

Smart Data Collective

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 128
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What does AI think is a good analogy for a Business Data Fabric?

Timo Elliott

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.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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A Guide to Top Natural Language Processing Libraries

KDnuggets

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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FreedomGPT: Personal, Bold and Uncensored Chatbot Running Locally on Your PC

Analytics Vidhya

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

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ISO 20022: Are your payment systems ready?

IBM Big Data Hub

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.

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CIO Fletcher Previn on designing the future of work

CIO Business Intelligence

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 140
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

Depict Data Studio

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!

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How to Summarize Data using ChatGPT

Juice Analytics

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 105
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LangChain 101: Build Your Own GPT-Powered Applications

KDnuggets

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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Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

Analytics Vidhya

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 374
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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What’s hard about AI? Operations!

Timo Elliott

What’s hard about #AI ? It’s not creating the models or doing the data science—it’s actually making it part of an operational process. You don’t have to take my word for it, here’s a quote from Gartner AI Expert Erick Brethenoux talking on a recent (and free!) web seminar “ Beyond the Hype: Enterprise Impact of ChatGPT and Generative AI “ “As an AI expert myself, I didn’t have enough appreciation for my colleagues that are downstream, doing all the

Data Lake 104
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3 ‘phase 0’ digital transformation errors no IT leader should make

CIO Business Intelligence

Digital transformation has embedded IT at the center of business strategy, making all organizations technology enterprises today, irrespective of their industry. Business processes, culture, workflow, and systems are all necessarily impacted by digital transformation efforts, which by definition overhaul how business gets done, expediting efficiencies, modernizing the enterprise, and — when executed well — enhancing profitability.

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How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?

Smart Data Collective

Understaffed, with their budgets cut, and overworked — why does that describe the state of security operation centers today when businesses need effective protection more than ever? Cyber professionals are facing more hacking threats than ever before, there’s a shortage of skilled cybersecurity professionals and a flood of data that is coming from a large number of protective tools.

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Introducing Native Connector for Google BigQuery: Boosting Data Lineage, Migration, and Discovery

Octopai

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.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Unveiling the Potential of CTGAN: Harnessing Generative AI for Synthetic Data

KDnuggets

CTGAN and other generative AI models can create synthetic tabular data for ML training, data augmentation, testing, privacy-preserving sharing, and more.

Testing 156
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How to Use ChatGPT as a Data Scientist?

Analytics Vidhya

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 356
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Generic orchestration framework for data warehousing workloads using Amazon Redshift RSQL

AWS Big Data

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. You can also integrate AWS services like Amazon EMR , Amazon Athena , Amazon SageMaker , AWS Glue , AWS Lake Formation , and Amazon Kinesis to take advantage of all of the analytic capabilities in the

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Accelerating innovation with cloud-native apps on Microsoft Cloud

CIO Business Intelligence

The financial services sector is undergoing rapid change as fintechs develop convenient, consumer-focused services that were once the province of traditional banks. We spoke with Siddhartha Gupta, Global Head of Application Modernization on Azure at Tata Consultancy Services (TCS) , about this trend and what financial services organizations need to do to improve their capacity for agility and innovation.

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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.