Fri.May 19, 2023

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How To Use ChatGPT API In Python

Analytics Vidhya

Introduction Do you want to make your chatbots more conversational and intelligent? Then, look no further than ChatGPT by OpenAI. ChatGPT is a state-of-the-art conversational AI that can understand natural language queries and respond in a human-like manner. This article will guide you to access this powerful tool using the ChatGPT API using openAI library. […] The post How To Use ChatGPT API In Python appeared first on Analytics Vidhya.

Analytics 314
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Examining the fallout of APAC tech skills shortages

CIO Business Intelligence

Recent research from IDC report Enterprise Automation to Mitigate the Digital Skills Shortage found that up to 80% of organizations in the APAC region, excluding Japan, find it difficult or extremely difficult to fill vacancies in IT roles. Some of the hardest roles to fill include security, and development and data professionals. The report also shows that when organizations are able to fill these roles, it’s taking them three to four months longer than it did a year ago.

Software 111
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Zoom Integrates AI for Seamless Video Conferencing

Analytics Vidhya

Zoom, the popular video conferencing platform, has announced that it will integrate AI into its services to provide even more seamless and efficient video meetings. This integration comes as part of a larger trend of tech companies utilizing AI to improve customer experience. Here are the details on Zoom’s new integration with zapier Zoom Utilizes […] The post Zoom Integrates AI for Seamless Video Conferencing appeared first on Analytics Vidhya.

Analytics 305
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2023 SAP Innovation Award Winners: Swiss Federal Railways, Mastering a Data-Driven Culture with SAP BTP

Timo Elliott

Mastering Data Hygiene Reliable data is at the core of all digital transformation. Here’s a great example of how technology can help make sure that you have a solid information foundation for innovative new business processes. Swiss Federal Railways (SBB) is a winner of one of the prestigious 2023 SAP Innovation Awards , in the “Experience Wizards” category.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Descriptive vs Inferential Statistics: What’s the Difference?

Analytics Vidhya

Statistics involves gathering and organizing raw data into an easily understandable format. This field of mathematics helps analyze data and apply the findings to address various data-related issues. There are two broad categories of statistical methods: descriptive and inferential statistics. This article will explain the difference between descriptive vs inferential statistics.

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IT Staff Augmentation: How AI Is Changing the Software Development Industry

KDnuggets

It discusses how AI assistants are helping teams become more efficient and how they can also be a benefit to developers.

Software 108

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Bayesian vs Frequentist Statistics in Data Science

KDnuggets

Is your statistical alignment Bayesian or a Frequentist?

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TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

Web-based ERP providers are experiencing significant growth and demand as more companies seek to streamline their business processes, cut costs and improve operational efficiency. With the rise of cloud computing, web-based ERP providers increasingly offer Software as a Service (SaaS) solutions, which have become a popular option for businesses of all sizes.

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AI-Based Analytics Are Changing the Future of Credit Cards

Smart Data Collective

Few industries have been untouched by changes in artificial intelligence technology. However, the financial industry has been affected more than most others. Therefore, it should not be surprising to hear that the global market for AI in the financial services sector was worth $9.45 billion in 2021 and is growing at a rate of 16.5% a year. AI is revolutionizing the financial industry by automating many processes and providing new, meaningful insights that were once impossible.

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The Questions that Matter: About Demographics

Andrew White

Our days are filled with questions. We are surrounded by them. It is part of what makes being human exiting, fun and painful. Jerome Powell and the Federal Reserve are wrestling with questions about interest rates and inflation. You might be asking yourself if you want to spend the time reading this blog. In Information Technology (IT), there are many other questions too.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Guarding Your AI Galaxy: How IT Can Prevent AI Project Failures

Dataiku

Have you ever wondered why some AI projects fail to deliver their promised results? As highlighted by respondents in the 2023 Dataiku-sponsored IDC InfoBrief "Create More Business Value From Your Organizational Data,” a lack of effective technology, production-ready data pipelines, and an environment that facilitates smooth project transitions from experimentation to production are some of the key reasons.

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Data Strategies for Getting Greater Business Value from Distributed Data

Data Virtualization

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Simplify AWS Glue job orchestration and monitoring with Amazon MWAA

AWS Big Data

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more. Analytics professionals are tasked with deriving value from data stored in these distributed systems to create better, secure, and cost-optimized experiences for their customer

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Improved CPU throttling measurement

IBM Big Data Hub

It has been a year and a half since we rolled out the throttling-aware container CPU sizing feature for IBM Turbonomic , and it has captured quite some attention, for good reason. As illustrated in our first blog post , setting the wrong CPU limit is silently killing your application performance and literally working as designed. Turbonomic visualizes throttling metrics and, more importantly, takes throttling into consideration when recommending CPU limit sizing.

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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.