Thu.Jun 29, 2023

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Top 10 AI Influencers to Follow in 2023

Analytics Vidhya

Introduction In a world driven by cutting-edge technology and mind-boggling possibilities, keeping up with the ever-evolving realm of AI is both thrilling and essential. As we step into the promising year of 2023, it’s time to embark on an exhilarating journey through the minds of the most influential and visionary AI trailblazers. Buckle up and […] The post Top 10 AI Influencers to Follow in 2023 appeared first on Analytics Vidhya.

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5 Free Books on Natural Language Processing to Read in 2023

KDnuggets

Large language models are getting released left right and center, and if you want to understand them better you need to know about NLP. Here are 5 Free books to help you.

Modeling 103
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Building Language Models: A Step-by-Step BERT Implementation Guide

Analytics Vidhya

Introduction Advances in machine learning models that process language have been rapid in the last few years. This progress has left the research lab and is beginning to power some leading digital products. A great example is the announcement that BERT models are now a significant force behind Google Search. Google believes that this move […] The post Building Language Models: A Step-by-Step BERT Implementation Guide appeared first on Analytics Vidhya.

Modeling 353
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Back to basics: Keys to taking a pragmatic approach to observability

CIO Business Intelligence

In the world of IT operations, “observability” is a concept that’s been around for some time. Having been in IT operations for more than 30 years, I can say that, even before anyone called it “observability,” we were in effect examining ways to achieve the same ends. While definitions can vary, in essence, observability is about gaining an understanding of a given system by tracking and analyzing its external outputs.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Using GANs in TensorFlow Generate Images

Analytics Vidhya

Introduction In this article, we explore the application of GANs in TensorFlow for generating unique renditions of handwritten digits. The GAN framework comprises two key components: the generator and the discriminator. The generator generates new images in a randomized manner, whereas the discriminator is designed to differentiate between authentic and counterfeit images.

Analytics 352
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Stable Diffusion: Basic Intuition Behind Generative AI

KDnuggets

This article provides a general overview of Stable Diffusion and focuses on building a basic understanding of how generative artificial intelligence works.

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What is asset reliability?

IBM Big Data Hub

When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. To be successful, businesses need to have clear, real-time visibility into the condition of their assets and a plan to keep them running smoothly and make repairs quickly when things break. Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary

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Empowering Insights on Web 3.0 and Blockchain

Analytics Vidhya

Introduction In conversation with Mr. Abhishek Kateliya, who is an enthusiasts and has build a community, Third Block, which will give you some insights on Web 3.0 and blockchain. He will be sharing his journey as a data analyst at his previous role with JP Morgan. We shall have his perspectives on the power of […] The post Empowering Insights on Web 3.0 and Blockchain appeared first on Analytics Vidhya.

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

Imagine a symphony orchestra where each musician plays their own tune without listening to others. The result would be chaotic and dissonant, right? Similarly, in the business world, when decision-making happens in silos and planning processes are disconnected, it’s like having a group of individuals playing their own instruments without any coordination.

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How to Become Amazon Data Scientist in 2023?

Analytics Vidhya

Most businesses currently generate, compile, and manage enormous volumes of data. Yet, most of them lack the knowledge to fully utilize every bit of the data they have collected. Data scientists come into play in this scenario. Data scientists, an emerging class of analytical data specialists, are an increasingly important player in businesses. Amazon is […] The post How to Become Amazon Data Scientist in 2023?

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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From Data to Delight: Unleashing the Power of Exceptional Data Products

Dataiku

Imagine strolling through the aisles of a supermarket, where you're greeted with an array of ready-to-eat goodies and ingredients for culinary adventures. Similarly, data products, akin to the products on those shelves, are the result of transforming data into consumable goods. But creating and sharing them isn't a piece of cake. What truly makes a data product exceptional?

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Difference Between Data Science vs Statistics

Analytics Vidhya

Introduction With an increase in postings for data scientists on Indeed by 256%, data science has become an industry buzzword. A growing need for data science roles in various fields has led to the masses opting for specialized degrees and training programs in data science. Businesses and governments extensively use data to make essential choices […] The post Difference Between Data Science vs Statistics appeared first on Analytics Vidhya.

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Centralize near-real-time governance through alerts on Amazon Redshift data warehouses for sensitive queries

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers. In many organizations, one or multiple Amazon Redshift data warehouses run daily for data and analytics purposes.

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AI Goes to Space! NASA to Roll Out ChatGPT-like Chatbot for Spacecraft Communication

Analytics Vidhya

In an interesting development, NASA engineers are venturing beyond Earth’s boundaries to bring artificial intelligence (AI) into space. The latest endeavor involves building an AI assistant akin to ChatGPT, enabling astronauts to converse with their spacecraft. This extraordinary advancement in communication capabilities harks back to the futuristic realm depicted in science fiction novels.

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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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Generate Music From Text Using Google MusicLM

KDnuggets

Introducing Google's latest AI Music model breakthrough.

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How to Reduce Public Cloud Data Risks with a 3-Step Approach

Laminar Security

Using a risk-based approach to deal with policy violations and continuous compliance monitoring will help avoid data exposures and fines. Public cloud spending and adoption is growing fast. Analysts predict that organizations will spend $591.8 billion on cloud infrastructure and services in 2023, up 20.7% from the year before. In fact, according to Forrester, the public cloud market is projected to reach $1 trillion by 2026, with the majority of spending directed to the big four: Alibaba, Amazon

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What is IoT Dashboard?

FineReport

The Internet of Things (IoT) has revolutionized the way we interact with devices and gather data. Among the tools that have emerged from this digital transformation, IoT dashboards stand out as invaluable assets. In this article, we will explore the concept of IoT dashboards, delve into their benefits, examine real-life examples, and highlight the essential features that make them indispensable in the IoT landscape.

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Sovereign Data (and Digital) Strategy Update June 2023

Andrew White

If, like me, you’ve been reading the press, the news every day adds dramatic updates in the world of geopolitics. Stories abound: Deglobalization Reglobalization Friend-shoring Near-shoring De-risking The list of related words is almost endless. They all seem to relate to the reordering of the world we know it. Interestingly the June copy of Finance and Development from the IMF (“ Trade Disrupted “) suggests that the volume of global trade has not actually dropped; it is just being r

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Data Management Challenges Solved – The Denodo Platform on Alibaba Cloud, Coming to a Data Center Near You

Data Virtualization

Reading Time: 2 minutes Fast, intelligent decision making relies on real-time access to the right data. However, the pain is real when it comes to data integration and data management, but today’s enterprise architects are racing to build modern data infrastructures using data fabric, The post Data Management Challenges Solved – The Denodo Platform on Alibaba Cloud, Coming to a Data Center Near You appeared first on Data Management Blog - Data Integration and Modern Data Management Article

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Was data science a failure mode of software engineering?

Data Science and Beyond

Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.

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Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio

AWS Big Data

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities. We also show how to use Kinesis Data Analytics Studio to test and tune your analysis before deploying your migrated applications.

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How to Manage Risk with Modern Data Architectures

Cloudera

The recent failures of regional banks in the US, such as Silicon Valley Bank (SVB), Silvergate, Signature, and First Republic, were caused by multiple factors. To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. Technology alone would not have prevented the banking crisis, but the fact remains that financial institutions still aren’t leveraging technology as crea

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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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Your Knowledge Graph Journey In Three Simple Steps

Ontotext

How do you think about your data? Do you view it as isolated bits of information or as a network of interconnected pieces? It’s interesting that when we think about things, people, places, it’s obvious how one thought leads to another. Yet when we consider the data items that represent these things, our legacy systems have led us to the limited understanding that data is made of discrete objects, which hardly interrelate.

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Digital twin vs digital thread: Two complementary ways to digitally replicate assets

IBM Big Data Hub

As the pace of digital transformation accelerates in the manufacturing and engineering industries, two concepts have gained significant traction: digital twins and digital threads. Both concepts refer to digital representations of physical objects, but they serve different purposes and offer companies unique advantages. Here, we will compare digital twins and digital threads, and discuss potential use cases and benefits.

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10 manufacturing trends that are changing the industry

IBM Big Data Hub

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. To maintain their competitiveness and overcome today’s challenges, manufacturers have had to make agility and adaptability top priorities. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. 1.