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.

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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 269
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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 303
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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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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionzing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for

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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.

Big Data 129
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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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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.

Analytics 363
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Addressing Top Enterprise Challenges in Generative AI with DataRobot

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.

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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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3 ways CIOs should drive the future of work

CIO Business Intelligence

“Who owns and oversees employee experience and the future of work at your organization” is a question I’ve been asking CIOs and IT leaders a lot of late. The ensuing conversation usually reveals a telling disconnect that CIOs should remedy for the health of their companies. Most IT leaders pause before responding to this question. Some go on to describe hybrid work plans, which is one aspect of the future of work, but it’s not the complete scope.

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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 123
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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 Deliver a Modern Data Experience Your Customers Will Love

In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition. The guide outlines how to use embedded analytics to: Increase user satisfaction Go to market faster Create additional opportunities to monetize your product It also shares what to look for to ensure your embedded analytics are keeping up with the lates

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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

Analytics 334
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Why companies need to accelerate data warehousing solution modernization

IBM Big Data Hub

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. During the pandemic, when lockdowns and social-distancing restrictions transformed business operations, it quickly became apparent that digital innovation was vital to the survival of any organization.

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10 fastest growing US tech hubs for IT talent

CIO Business Intelligence

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
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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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How to Use Large Language Models in the Enterprise

Dataiku

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.

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Are LLMs Poised To Be A Great Business Intelligence Equalizer? Not Yet.

Boris Evelson

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).

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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!

Analytics 326
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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.

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Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

IBM Big Data Hub

The move towards monitoring HR tools and applications for bias is gaining traction worldwide, driven by various global and domestic data privacy laws and the US Equal Employment Opportunity Commission (EEOC). In line with this trend, the New York City Council has enacted new regulations requiring organizations to conduct yearly bias audits on automated employment decision-making tools used by HR departments.

Strategy 100
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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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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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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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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.

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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.

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Microsoft Releases VisualGPT: Combines Language and Visuals

Analytics Vidhya

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.

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How the right data and AI foundation can empower a successful ESG strategy

IBM Big Data Hub

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions. A well-designed data foundation can also be a game-changer when it comes to managing ESG (environmental, social, and governance) commitments.

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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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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le