November, 2023

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Breaking down data silos for digital success

CIO Business Intelligence

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise.

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AI assistants optimize automation with API-based agents

IBM Big Data Hub

Generative AI-powered assistants are transforming businesses through intelligent conversational interfaces. Capable of understanding and generating human-like responses and content, these assistants are revolutionizing the way humans and machines collaborate. Large Language Models (LLMs) are at the heart of this new disruption. LLMs are trained on vast amounts of data and can be used across endless applications.

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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

In today’s fast-paced business world, companies are striving to harness the power of digital technologies to reinvent their operations, enhance customer experiences, drive innovation, and thereby create value for stakeholders. But the hard truth is that many digital initiatives fail to deliver results. Transformation efforts can be derailed for any number of reasons, but there are several common themes as to why digital initiatives fall short — and most revolve around leadership.

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Generative AI in the Enterprise

O'Reilly on Data

Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Pika 1.0: A New AI Model for Video Creation

Analytics Vidhya

In a world captivated by generative AI, Pika, a startup specializing in AI-powered video creation, has secured a staggering $55 million in a recent funding round led by Lightspeed Venture Partners. This influx of capital aligns with the launch of Pika 1.0, a groundbreaking suite of videography tools designed to transform the landscape of video […] The post Pika 1.0: A New AI Model for Video Creation appeared first on Analytics Vidhya.

Modeling 337
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7 Machine Learning Algorithms You Can’t Miss

KDnuggets

This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.

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How to implement enterprise resource planning (ERP)

IBM Big Data Hub

Once your business has decided to switch to an enterprise resource planning (ERP) software system, the next step is to implement ERP. For a business to see the benefits of an ERP adoption it must first be deployed properly and efficiently by a team that typically includes a project manager and department managers as well. This process can be complicated and feel overwhelming, depending on the needs of your organization.

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10 cloud strategy questions every IT leader must answer

CIO Business Intelligence

It’s no longer a question of whether organizations are moving to the cloud but rather how well it’s going. Cloud isn’t that shiny new object in the distance, full of possibility. It’s come down to earth — sometimes with an unexpected thud onto the wrong side of a company’s balance sheet. “There are so many people who bought into cloud without thinking through the real reasons why they were doing this and what they wanted to accomplish,” says David Mitchell Smith, distinguished vice president and

Strategy 145
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Benefits of Data Management Regulations for Consumers & Businesses

Smart Data Collective

Big data has led to a number of promising changes for consumers and businesses all over the world. It has led to the growth of nuanced search engines, website personalization features and many other promising benefits. This is one of the reasons that the market for big data is currently worth over $271 billion.

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This move by OpenAI will pave the way for AGI

Analytics Vidhya

In a groundbreaking move towards advancing artificial intelligence (AI) capabilities, OpenAI has unveiled its Data Partnerships initiative. This program invites collaboration with organizations worldwide to collectively build comprehensive public and private datasets aimed at enhancing AI model training and paving way toward AGI. The Need for Diverse Training Datasets The foundation of modern AI lies […] The post This move by OpenAI will pave the way for AGI appeared first on Analytics Vid

Modeling 329
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Learn Probability in Computer Science with Stanford University for FREE

KDnuggets

Probability is one of the foundational elements of computer science. Some bootcamps will skim over the topic, however, it is integral to your computer science knowledge.

IT 142
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Unlock innovation in data and AI at AWS re:Invent 2023

AWS Big Data

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. Attendees will discover services, strategies, and solutions for tackling any data challenge. In this post, we provide a curated list of keynotes, sessions, demos, and exhibits that will showcase how you can unlock innovation in data and AI using AWS for Data.

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IBM named a Leader in The Forrester Wave™: Digital Process Automation Software, Q4 2023

IBM Big Data Hub

Forrester Research just released “The Forrester Wave™: Digital Process Automation Software, Q4 2023: The 15 Providers That Matter Most And How They Stack Up” by Craig Le Clair with Glenn O’Donnell, Renee Taylor-Huot, Lok Sze Sung, Audrey Lynch, and Kara Hartig and IBM is proud to be recognized as a Leader. IBM named a Leader In the report, Forrester Research evaluated 15 digital process automation (DPA) providers against 26 criteria in three categories: Current offering,

Software 118
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Low-code: An Accelerator for Digital Transformation

CIO Business Intelligence

Digital transformation is expected to be the top strategic priority for businesses of all sizes and industries, yet organisations find the transformation journey challenging due to digital skill gap, tight budget, or technology resource shortages. Amidst these challenges, organisations turn to low-code to remain competitive and agile. Taking the programmer out of software development, low-code provides tools that enable people with minimal training and coding skills to create and adapt applicati

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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How to Become a Tech Lead: TDI 39

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. See All the Interviews Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “How to become a tech lead – look for leadership opportunities every day when working with the team.” – via Panda (@hithisispanda) on Threads Welcome @hithisispanda , how did you discover software engineering as a career?

Software 105
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Introducing Amazon Q: Introducing the Chatbot for Business Brilliance!

Analytics Vidhya

In today’s fast-paced business world, effective communication is key to success. Now, Amazon leaps forward with Amazon Q, an AI chatbot designed to streamline business communication, letting companies interact, and take action with data. In this article, we explore Amazon Q’s features, benefits, and impact on business communication. The Power of Amazon Q Amazon Q […] The post Introducing Amazon Q: Introducing the Chatbot for Business Brilliance!

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A Comprehensive List of Resources to Master Large Language Models

KDnuggets

Large Language Models (LLMs) have now become an integral part of various applications. This article provides an extensive list of resources for anyone interested to dive into the world of LLMs.

Modeling 139
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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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FDA FSMA: Providing value beyond compliance

IBM Big Data Hub

The supply chain plays a pivotal role in delivering goods and services to both businesses and consumers, serving as the connective thread between industries, nations, communities and all components of the value chain. Our dependence on supply chains is most pronounced in ensuring food supply. However, over the decades, the supply chain has grown longer and increasingly intricate, which means consumers may find themselves more distant from the origin of the products they consume.

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Your biggest barriers to digital transformation aren’t technical…they’re cultural

CIO Business Intelligence

As an infrastructure and security practitioner with nearly 30 years of experience, I’ve witnessed periods of rapid change in the technology landscape. However, I have seen a lot of things stay practically the same. Historically, our jobs as infrastructure and security professionals have involved installing the “plumbing” that ensures organizations remain connected through traditional networking and security practices.

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The Importance of Analytics in Digital Marketing

Smart Data Collective

Marketing analytics has become a dealmaker in the business world. Companies are projected to spend over $10 billion on marketing analytics technology in 2028. The digital marketing sector is among those most influenced by the benefits of analytics technology. Why Are More Companies Investing in Analytics to Bolster their Digital Marketing Strategies?

Marketing 106
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Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting

Analytics Vidhya

Introduction Imagine loving a podcast and wishing to remember the best bits, but it’s all sound, no text. What do you do? That’s where cool tools like LLMs and Audio-to-Text translators step in. They magically turn spoken words into written notes, letting you easily pick out the gems and create handy bullet points. So, your […] The post Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting appeared first on Analytics Vidhya.

Analytics 323
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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11 Python Magic Methods Every Programmer Should Know

KDnuggets

Want to support the behavior of built-in functions and method calls in your Python classes? Magic methods in Python let you do just that! So let’s uncover the method behind the magic.

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The UK AI Safety Summit Was Both A Success And A Missed Opportunity

Martha Bennett

The week beginning October 30, 2023 was a busy week for AI policymakers: On Monday, the US released President Biden’s Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, and the G7 announced its agreement on Guiding Principles and a Code of Conduct on Artificial Intelligence.

IT 105
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4 ways to empower small and medium businesses with generative AI

IBM Big Data Hub

In a tightening economy, small and medium businesses (SMBs) are challenged to grow while protecting thinning margins. Compared to large businesses, SMBs have fewer resources to help them weather an economic downturn or diversify into new value streams. As such, enterprises that serve SMBs must provide solutions that lessen administrative burdens and deliver tangible value.

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5 ways to deploy your own large language model

CIO Business Intelligence

It’s the fastest-moving new technology in history. Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

Modeling 139
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

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.

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.

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Elevate User Experience: Implementing OpenAI Assistant API for Interactive Chatbots

Analytics Vidhya

Introduction With the introduction of ChatGPT and the GPT 3 models by OpenAI, the world has shifted towards using AI-integrated applications. In all the day-to-day applications we use, from e-commerce to banking applications, AI embeds some parts of the application, particularly the Large Language Models. One among them is the OpenAI Assistant API, i.e., chatbots. […] The post Elevate User Experience: Implementing OpenAI Assistant API for Interactive Chatbots appeared first on Analytics Vi

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Introduction to Giskard: Open-Source Quality Management for AI Models

KDnuggets

To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

Modeling 135
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AI Can Help Recover Deleted Photos from Digital Cameras

Smart Data Collective

AI technology plays a very important role in photo editing and manipulation. In June, The New York Times published a fascinating article on some of the many ways that AI can help create amazing photos and visuals. However, AI can be equally important in some less exciting ways. One of the other advantages of AI is that it can help recover lost photos from digital cameras.

Software 105
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.