June, 2023

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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. That was the date when OpenAI released ChatGPT, the day that AI emerged from research labs into an unsuspecting world. Within two months, ChatGPT had over a hundred million users—faster adoption than any technology in history.

Metrics 284
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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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DataKitchen in DBTA 100 2023: The Companies That Matter Most in Data

DataKitchen

The need to balance data safety with new data initiatives, deliver business value, and change company culture around data tops this year's list of data and analytics management challenges. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers.

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A Comprehensive Guide to Convolutional Neural Networks

KDnuggets

Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision.

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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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10 emerging innovations that could redefine IT

CIO Business Intelligence

The pace of innovation is relentless. CIOs must watch for the next generation of emerging technologies because new software can go from the dreams of some clever coder to an essential part of every IT shop in the blink of an eye. Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines.

IT 145
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AI is Disrupting SEO in Huge Ways in 2023

Smart Data Collective

Artificial intelligence has changed marketing in extraordinary ways, which is why the market for AI in the marketing profession is booming. Marketing companies spent over $35 billion on AI in marketing research alone last year, but they are likely to spend as much on AI-driven SEO. Search engine optimization (or SEO) is a broad and highly complicated area and if you are a new business owner discovering it for the first time, it can feel terribly overwhelming.

More Trending

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Data Scraping Demystified: How to Extract Valuable Insights from the Web

Analytics Vidhya

The amount and range of data that is accessible online in the modern era is enormous, which makes it a gold mine of significant insights for corporations, researchers, and consumers. However, you must compile specific details before accessing the most valuable data elements. Data scraping, commonly called web scraping, has become a powerful method for […] The post Data Scraping Demystified: How to Extract Valuable Insights from the Web appeared first on Analytics Vidhya.

Analytics 393
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Migrate from Google BigQuery to Amazon Redshift using AWS Glue and Custom Auto Loader Framework

AWS Big Data

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. Customers are looking for tools that make it easier to migrate from other data warehouses, such as Google BigQuery, to Amazon Redshift to take advantage of the service price-performance, ease of use, security, and reliability.

Metadata 106
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AI: Large Language & Visual Models

KDnuggets

This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.

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13 essential skills for accelerating digital transformation

CIO Business Intelligence

Digital transformation is indeed a cornerstone of business strategy today, as 89% of enterprises see digital business as core to their growth, according to Gartner’s Board of Directors 2023 Survey. Equally telling is another statistic from that research: Just 35% of these enterprises have achieved their digital goals or are on track to do so. “This underlines the need for organizations to embrace change and adopt a more agile and forward-thinking approach to digital transformation skills in orde

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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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Ultimate List of CFO Blogs and Resources – 2023 Edition

Jet Global

As a Chief Financial Officer (CFO), you are the pinnacle of the corporate financial food chain. The lion of the jungle. But does this mean your journey ends there? Definitely not. There are always new things to be learning and experiences to help you guide your company through the waves of the business cycle. We have compiled a list of resources to help you on your journey as a CFO.

KPI 105
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Four Topics That Should Be Top of Mind for SAP Partners

Timo Elliott

I recently recorded a stream-of-consciousness video interview on the top topics that SAP Partners (and customers!) should be taking account of in the coming months and years. Here’s the recording and a transcript below: SAP Innovation Evangelist SAP on the top topics SAP Partners should be thinking about. Hello everyone, my name is Timo Elliott and I’m an Innovation Evangelist for SAP and there are four topics that I think should be top of mind for partners around the world.

Data Lake 105
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Crop Yield Prediction Using Machine Learning And Flask Deployment

Analytics Vidhya

Introduction Crop yield prediction is an essential predictive analytics technique in the agriculture industry. It is an agricultural practice that can help farmers and farming businesses predict crop yield in a particular season when to plant a crop, and when to harvest for better crop yield. Predictive analytics is a powerful tool that can help […] The post Crop Yield Prediction Using Machine Learning And Flask Deployment appeared first on Analytics Vidhya.

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Is there a “right” cloud strategy for banking?

IBM Big Data Hub

As public cloud technology and hybrid multicloud architectures are being adopted in financial institutions at an increasing rate, we’re observing that their counterparts in the public sector— central banks—are a long way behind, due at least in part to a profoundly risk-averse approach. While central banks have a very different mission from commercial banks, what they do have in common is the need to modernize their IT operations to support digital transformation, contain costs

Strategy 101
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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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5 Free Julia Books For Data Science

KDnuggets

Discover the full potential of the Julia programming language for data analysis and modeling with a comprehensive guide that covers everything from its syntax to advanced techniques.

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10 hottest IT jobs for salary growth in 2023

CIO Business Intelligence

As companies vie for talented tech workers to meet skills gaps in their organizations, the demand for certain tech roles has increased. There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. This demand has driven up salaries for IT roles, especially those around development, engineering, and support.

IT 140
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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows.

Data Lake 109
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Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction

Analytics Vidhya

Introduction OpenAI’s API, developed by OpenAI, provides access to some of the most advanced language models available today. By leveraging this API and using LangChain & LlamaIndex, developers can integrate the power of these models into their own applications, products, or services. With just a few lines of code, you can tap into the vast knowledge […] The post Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction appeared first on Analytics Vidhya.

Modeling 389
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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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EU Takes a Stand with AI Rules

Analytics Vidhya

In a revolutionary move, the European Union (EU) has successfully passed The Artificial Intelligence Act, a draft law that seeks to regulate the use of artificial intelligence (AI). This significant development marks a crucial step in establishing guidelines for AI governance and may serve as a global model for policymakers. Let’s delve into the details […] The post EU Takes a Stand with AI Rules appeared first on Analytics Vidhya.

Modeling 389
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Google Cloud Helps Macquarie Bank Enhance AI-Banking Capabilities

Analytics Vidhya

Macquarie’s Banking and Financial Services Group has joined forces with Google Cloud to harness the power of artificial intelligence (AI) and machine learning (ML) in an exciting collaboration to revolutionize the banking industry. This partnership aims to enhance customer banking experiences by developing predictive analysis models and streamlining banking processes through automation.

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Generative AI Can Contribute $4.4 Trillion Annually: McKinsey

Analytics Vidhya

Generative AI, a groundbreaking technology that enables machines to create content autonomously, is going to revolutionize the global economy. A recent report by McKinsey suggests that the impact of gen AI on productivity could add trillions of dollars in value annually across various industries and sectors. With its ability to automate work activities and augment […] The post Generative AI Can Contribute $4.4 Trillion Annually: McKinsey appeared first on Analytics Vidhya.

Reporting 376
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Talk to Your Dataset With PandasAI

Analytics Vidhya

Introduction Imagine you’re working on a dataset to build a Machine Learning model and don’t want to spend too much effort on exploratory data analysis codes. You may sometimes find it confusing to sort, filter, or group data to obtain the required information. Is there a way to quickly and effortlessly extract information? Wouldn’t it […] The post Talk to Your Dataset With PandasAI appeared first on Analytics Vidhya.

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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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How Google Rates Content: Latest Updates

Analytics Vidhya

Google, the world’s leading search engine, has made significant strides in understanding and adapting to artificial intelligence (AI) technology. At the recent Google Search Central Live Tokyo 2023 event, Gary Illyes and other experts shared valuable insights into Google’s approach to AI-generated content. In this article, we will delve into Google’s policy on AI content […] The post How Google Rates Content: Latest Updates appeared first on Analytics Vidhya.

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SARIMA Model for Forecasting Currency Exchange Rates

Analytics Vidhya

Introduction Forecasting currency exchange rates is the practice of anticipating future changes in the value of one currency about another. Currency forecasting may assist people, corporations, and financial organizations make educated financial decisions. One of the forecasting techniques that can be used is SARIMA. SARIMA is an excellent time series forecasting technique for estimating time series […] The post SARIMA Model for Forecasting Currency Exchange Rates appeared first on Analyti

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Power BI vs Tableau: Similarities and Differences

Analytics Vidhya

Efficient decision-making is the result of combining information, analysis, and effectiveness. That’s why businesses of all types and sizes are embracing data visualization, albeit often with a simplified approach. Power BI and Tableau, popular and user-friendly data visualization tools, help businesses organize large datasets. While both software are crucial for efficient data organization, comparing Power […] The post Power BI vs Tableau: Similarities and Differences appeared first

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How is AI Making Forests Safer from Fires?

Analytics Vidhya

When wildfires ravaged California, turning the skies orange and leaving devastation in their wake, a groundbreaking startup stepped up to fight back. Chooch, a Silicon Valley-based leader in computer vision, combined the power of artificial intelligence (AI) and computer vision to revolutionize wildfire detection. By leveraging their innovative technology, Chooch successfully provided real-time alerts to […] The post How is AI Making Forests Safer from Fires?

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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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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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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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Mercedes-Benz Cars Get Even Smarter with ChatGPT

Analytics Vidhya

Mercedes-Benz, the renowned luxury car manufacturer, is pushing the boundaries of artificial intelligence (AI) integration by taking in-car voice control to a whole new level. The voice control system of Mercedes-Benz vehicles is currently powered by the MBUX Voice Assistant’s Hey Mercedes. By integrating ChatGPT, the voice assistant will become even more intuitive and user-friendly. […] The post Mercedes-Benz Cars Get Even Smarter with ChatGPT appeared first on Analytics Vidhya.

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Is Data Science a Good Career?

Analytics Vidhya

Introduction With its ever-growing prominence and influence, data science has become a subject of great interest and intrigue among individuals contemplating their career paths. In an era characterized by an exponential surge in data generation, analysis, and utilization, the question arises: Is data science a good career? By exploring the multifaceted aspects of data science, […] The post Is Data Science a Good Career?

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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.