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 141
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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 331
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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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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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A Beginner’s Introduction To The Most Common Data Types In Programming 

datapine

Table of Contents 1) What Are Data Types? 2) The Need For Data Types 3) List Of Common Data Types a) Primitive Data Types b) Composite Data Types c) Abstract Data Types In our digitally-driven age, data is permeating every industry and business function at an increasing pace. In fact, it is estimated that approximately 328.77 million terabytes of data are generated every day.

More Trending

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Sigma Computing Makes Cloud Analytics More Accessible

David Menninger's Analyst Perspectives

Organizations are becoming increasingly aware of the potential value that can be gained by processing big data. As data sources grow, it becomes important to have tools and methods to effectively process, analyze and visualize this information from disparate systems and warehouses.

Analytics 147
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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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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 160
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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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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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A Beginners Guide To The Power Of Area Charts – See Examples, Types & Best Practices 

datapine

Table of Contents 1) What Is An Area Chart? 2) Types Of Area Charts 3) When To Use Area Graphs 4) Area Diagram Best Practices 5) Area Chart Examples It is no secret that the human brain processes visual information way faster than text or numbers. In fact, a study by MIT researchers showed that 90% of the information transmitted to the brain is visual and that humans can identify images seen for as little as 13 milliseconds.

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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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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.

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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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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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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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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 383
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Getting Started With Incremental Sales – Best Practices & Examples

datapine

Table of Contents 1) What Are Incremental Sales? 2) Why Do You Need Incremental Sales 3) Incremental Sales Best Practices 4) KPIs To Help Boost Incremental Sales 5) Incremental Sales Challenges To ensure a sustainable level of commercial success in our cutthroat digital age, offering value, driving consumer loyalty, and consistently surpassing your targets are of the utmost importance.

Sales 176
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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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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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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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Generative AI Ushers in a New Age of Content and Model Creation

David Menninger's Analyst Perspectives

Generative AI is a class of artificial intelligence used to generate new, seemingly real content. Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups (or clusters) with similar characteristics, or predict which customers are most likely to respond to certain offers.

Modeling 130
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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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A Complete Guide To Spider Charts With Best Practices And Examples Of When To Use Them 

datapine

Table of Contents 1) What Is A Spider Chart? 2) When To Use Spider Graphs 3) Types Of Radar Charts 4) Radar Graph Best Practices 5) Spider Chart Examples If you are reading this blog post then you must be somewhat aware of the value of data visualization. Because they make complex data more accessible and understandable for a wide range of audiences, graphs and charts, permeate all areas of our lives with their multiple use cases in the news, media, politics, and business.

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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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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 133
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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms In the webinar “Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms,” James Royster, Vice President of Commercial Operations, Insights, and Analytics at Karuna Therapeutics, shared his insights on leading efficient and effective data analytics teams.

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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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A Step-by-Step Guide to Web Scraping with Python and Beautiful Soup

KDnuggets

Learn the basics of Web Scraping and its Python implementation. Also, get to know about the various methods of Beautiful Soup library.

IT 160
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Why Learn No Code Machine Learning in 2023?

Analytics Vidhya

Introduction Technologies like machine learning and artificial intelligence have become the talk of the town because of their applicability across organizations of all sizes and domains; and their ability to automate the most complex tasks. It was only in the reinvention of backpropagation in the mid-1980s that they were deemed successful sheerly because of the […] The post Why Learn No Code Machine Learning in 2023?

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Monitor and optimize cost on AWS Glue for Apache Spark

AWS Big Data

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark.

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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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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.