Analytics Vidhya

JULY 20, 2023

Introduction In the ever-expanding realm of artificial intelligence, one fascinating field that has captured the imagination of researchers, technologists, and enthusiasts alike is Generative AI. These clever algorithms are pushing the limits of what robots can do and understand every day, ushering in a new era of invention and creativity. In this essay, we embark […] The post The Fascinating Evolution of Generative AI appeared first on Analytics Vidhya.

Analytics 271

Analytics Deep Learning Modeling 271

CIO Business Intelligence

JULY 20, 2023

I’ll never forget the look on my first mortgage clients’ faces as they signed for their new home – the joy and relief washing over them in equal measure. After weeks of exhausting back-and-forth requests and paperwork transferred in ways that seem naively unsecure by today’s standards, their prize was the key to the front door. Since then, automation has filled the gap in improving customer experience and security.

Technology 98

Technology Finance Advertising Digital Transformation 98

Analytics Vidhya

JULY 20, 2023

Introduction A few months back, when I initially began working at Office People, I developed an interest in Language Models, particularly Word2Vec. Being a native Python user, I naturally concentrated on Gensim’s Word2Vec implementation and looked for papers and tutorials online. I directly applied and duplicated code snippets from multiple sources, as any good data […] The post Step-by-Step Guide to Word2Vec with Gensim appeared first on Analytics Vidhya.

Modeling 268

Modeling Analytics 268

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. There are two key components to Apache Hive: the Hive SQL query engine and the Hive metastore (HMS). The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 76

Data Lake Metadata Data Processing Big Data 76

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.

Management

Analytics Vidhya

JULY 20, 2023

Introduction The significance of influencer marketing on Twitter cannot be ignored, especially when it comes to benefiting businesses. In this article, we’ll explore a fascinating concept: using data science and Python to find the top twitter influencers. This technique can help businesses make smart choices and reap rewards on Twitter. By applying scientific methods and Python’s capabilities, businesses gain […] The post Using Data Science to Identify Top Twitter Influencers a

Data Science 208

Data Science Marketing Analytics IT 208

CIO Business Intelligence

JULY 20, 2023

At the turn of the 20th century, economists predicted that living a life of leisure would be the ultimate aspiration for the elite. These same economists suggested that those who were able to take more time off from work would be considered the most successful. Now the inverse seems to be the case. Today, those who are seen to exert more effort are deemed to have greater relevance.

Measurement 76

Measurement Metrics Management Optimization 76

CIO Business Intelligence

JULY 20, 2023

Perception matters, particularly for internal IT organizations. While CIOs may be acutely aware of the essential value their teams create, that value isn’t always evident to stakeholders and clients. We may hope that the work speaks for itself, but the reality is, IT leaders must communicate IT’s accomplishments in a way that people can understand why and how it matters to them.

Marketing 75

Marketing Technology Strategy ROI 75

Analytics Vidhya

JULY 20, 2023

Introduction Machine learning, a rapidly growing field, has captured the interest of countless aspiring individuals. However, the question of how much time it takes to learn machine learning is common and significant. In this article, we will delve into the factors that influence the learning duration, present a recommended learning path, estimate time requirements for […] The post How Long Does It Take to Learn Machine Learning?

Machine Learning 208

Machine Learning IT Analytics Modeling 208

CIO Business Intelligence

JULY 20, 2023

Few verticals have undergone as massive a change as retail in the last couple of years. Driven by cutthroat competition and significant shifts in customer expectations, retail companies are striving to align themselves with the changing landscape, with IT playing a crucial role in their ability to achieve this. To offer customers a shopping experience that is accessible, seamless, and engaging, retail IT leaders must devise revenue-focused strategies that, harness cutting-edge technology to addr

Technology 75

Technology Forecasting Advertising Machine Learning 75

Analytics Vidhya

JULY 20, 2023

The European Union is leading the charge in regulating artificial intelligence (AI) with its proposed AI Act, which includes rules for tech firms on disclosing copyrighted and AI-generated content. The EU is now urging Asian countries, including India, Japan, South Korea, Singapore, and the Philippines, to adopt similar regulations. However, Asian countries have varying approaches […] The post EU’s AI Act to Set Global Standard in AI Regulation, Asian Countries Remain Cautious appear

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Analytics IT Technology 208

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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?

Analytics

KDnuggets

JULY 20, 2023

Unveiling GPT-4: Deciphering its impact on data science and exploring its strengths and boundaries.

Data Science 92

Data Science IT 92

Analytics Vidhya

JULY 20, 2023

In a technological breakthrough that is sure to reshape the media landscape, Google is developing an AI-powered tool known as ‘Genesis’ to produce news articles. This cutting-edge technology has already caught the attention of prominent news organizations like The New York Times, The Washington Post, and News Corp, which publishes The Wall Street Journal.

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Publishing Technology Analytics 208

KDnuggets

JULY 20, 2023

So you want to break into data engineering? Start today by learning more about data engineering and the fundamental concepts.

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Analytics Vidhya

JULY 20, 2023

Tech giant Apple is forging ahead with its highly anticipated AI-powered chatbot, tentatively named “AppleGPT.” This revolutionary project, which utilizes the “Ajax” large language model (LLM) framework powered by Google JAX, has remained a closely guarded secret within the company. However, sources reveal that Apple is diligently working on this cutting-edge technology and is gearing […] The post Apple Enters the Generative AI Race with ‘AppleGPT’ Chatb

Modeling 208

Modeling Technology Analytics IT 208

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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.

Visualization

KDnuggets

JULY 20, 2023

To learn more about the DataOps market, download your free copy of the Gartner Market Guide for DataOps Tools.

Marketing 85

Marketing 85

Analytics Vidhya

JULY 20, 2023

Introduction Text Summariser using LLMs has drawn a lot of interest lately because they are now necessary tools for many different natural language processing (NLP) applications. These models, like GPT-3 and T5, are pre trained models that are capable of producing text that resembles that of a human being as well as text classification, summarization, […] The post Build A Text Summariser Using LLMs with Hugging Face appeared first on Analytics Vidhya.

Modeling 270

Modeling Analytics 270

IBM Big Data Hub

JULY 20, 2023

When businesses need industry-leading performance scalability and reliability for their SAP ERP landscape, they turn to IBM® Power® for their compute infrastructure. I can pull a list of benchmarks that highlight why over 4,500 customers run SAP HANA on Power—highest SAP-certified memory scalability, leadership in SAPS performance benchmarks, ranked most reliable among SAP-certified infrastructure platforms, etc.

Data Processing 63

Data Processing Optimization Software Management 63

Analytics Vidhya

JULY 20, 2023

Data science has emerged as a highly sought-after field, and securing a job at a FAANG (Facebook, Amazon, Apple, Netflix, Google) company is considered a major achievement. FAANG companies are known for their innovative approaches, cutting-edge technologies, and attractive compensation packages. This article will discuss 15 tips that can help you crack data science FAANG […] The post How to Crack Data Science FAANG Jobs in 2023?

Data Science 207

Data Science Technology Analytics Machine Learning 207

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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.

Analytics

Ontotext

JULY 20, 2023

We are Onlim , a leading Conversational AI company. Whether it’s a chatbot, a voicebot, or an enterprise search, our knowledge-based Conversational AI platform enables personalized interactions to increase customer satisfaction and improve the efficiency of businesses. We specialize in automated customer communication via chatbots and voice assistants.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

Analytics Vidhya

JULY 20, 2023

SUBSTRING Function in SQL: Definition, syntax application, examples, use cases, difference between Substring and CharIndex functions in SQL.

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KDnuggets

JULY 20, 2023

Pain-free dependency management is finally here.

Management 79

Management 79

Smarten

JULY 20, 2023

Mobile BI Provides Numerous Benefits. Explore the Possibilities! According to recent research, every industry is adopting mobile business intelligence as a means of staying abreast of crucial data, collaborating from within and outside the office and enabling business agility and digital transformation (Dx). Here are just a few of the statistics for the industries making significant moves into the Mobile BI market: Telecomm Software Tech Retail Manufacturing Professional Services Healthcare Fina

ROI 40

ROI Cost-Benefit Digital Transformation Statistics 40

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.

Management

Data Virtualization

JULY 20, 2023

Reading Time: < 1 minute In this post, I’m going to cover logical data management and its impact on data mesh architectures. But there’s a lot of confusion in the marketplace today between different types of architectures, specifically data mesh and data fabric, so I’ll. The post Logical Data Management and Data Mesh appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 40

Management Data Integration IT Data Quality 40

AWS Big Data

JULY 20, 2023

This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security. With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale.

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

Jet Global

JULY 20, 2023

On September 30, 1985, Microsoft released Excel into the world. First built for Macintosh, Microsoft added a Windows version in November of 1987, and the world of finance and accounting has never been the same. Countless other spreadsheet software has since landed on the market, from Google Sheets to Apple’s iWork Numbers to Gnumeric for Linux. And yet, none so far have proven quite as enduring or prolific as Excel.

Reporting 52

Reporting Data mining Finance Software 52

CIO Business Intelligence

JULY 20, 2023

By Chet Kapoor, Chairman and CEO, DataStax Generative AI is on everyone’s mind. It will revolutionize how we work, share knowledge, and function as a society. Simply put, it will be the biggest innovation we will see in our lifetime. One of the biggest areas of opportunity is productivity. Think about where we’re at right now – we’re facing workforce shortages, debt, inflation, and more.

Risk 40

Risk Machine Learning Deep Learning Interactive 40

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

Big Data