Mon.Apr 03, 2023

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The Dark Side of AI Innovation: ChatGPT Bug Exposes User Payment Data

Analytics Vidhya

OpenAI Confirms Security Breaches as Thousands Are Left Vulnerable to Information Leaks In the age of technological marvels, Artificial Intelligence (AI) chatbot, ChatGPT, created by OpenAI, has been a game-changer. ChatGPT offers personalized restaurant recommendations, table bookings, travel arrangements, and even grocery orders. But beneath the awe-inspiring capabilities lies a startling revelation.

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LangChain 101: Build Your Own GPT-Powered Applications

KDnuggets

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

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Analyzing Data Made Effortless Using ChatGPT

Analytics Vidhya

Introduction Tired of sifting through mountains of analyzing data without any real insights? ChatGPT is here to change the game. With its advanced natural language processing capabilities, ChatGPT can uncover hidden patterns and trends in your data that you never thought possible. In this blog post, we’ll explore how ChatGPT can revolutionize your data with […] The post Analyzing Data Made Effortless Using ChatGPT appeared first on Analytics Vidhya.

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RAPIDS cuDF to Speed up Your Next Data Science Workflow

KDnuggets

This article will explain how RAPIDS can help you speed up your next data science workflow. RAPIDS cuDF is a GPU DataFrame library that allows you to produce your end-to-end data science pipeline development all on GPU.

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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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Data Engineering for Streaming Data on GCP

Analytics Vidhya

Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers. Nevertheless, setting up a streaming data pipeline to power such dashboards may […] The post Data Engineering for Streaming Data on GCP appeared first on Analytics Vidhya.

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Bot Experience Engineer Is the Sexiest Job of the Next 10 Years

Dataiku

Thirteen years ago, 14 months after Geoffrey Hinton’s seminal deep learning tech talk , Google Chief Economist Hal Varian said that statisticians would be the sexiest job in the next 10 years. He was right, although we call them data scientists rather than statisticians. A new foundational machine learning model — deep learning — created demand for a new role to train those models.

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3 Ways Companies Will Double Down on Agent Experience in 2023

CIO Business Intelligence

The current state of the contact center agent is clear, but for those unaware or overlooking this opportunity for improvement: agent attrition rates currently hover around 40% , the cost of replacing just one agent is between $10k-$20k , and 97% of agents are sometimes or almost always burned out. Unengaged employees (undoubtedly including contact center agents) collectively cost $7.8 trillion in lost productivity, or about 11% of the global GDP.

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10 Must-Have AI Customer Segmentation Tools for Effective Marketing

Analytics Vidhya

Customers are significant assets to a brand, leading them to the top. Segmenting or grouping the vast customer base per different criteria eases marketing actions. Segmentation makes companies 60% more likely to comprehend customers’ choices, thus molding their offerings for tremendous success. The segments can be based on wide factors like location, industry, or based […] The post 10 Must-Have AI Customer Segmentation Tools for Effective Marketing appeared first on Analytics Vidhya.

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Top Posts March 27 – April 2: Automate the Boring Stuff with GPT-4 and Python

KDnuggets

Automate the Boring Stuff with GPT-4 and Python • How to Use ChatGPT to Improve Your Data Science Skills • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • ChatGPT for Data Science Cheat Sheet • 4 Ways to Generate Passive Income Using ChatGPT

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What does AI think is a good analogy for a Business Data Fabric?

Timo Elliott

Here’s an extract of a short conversation I recently had with GPT-4, illustrated with images from Midjourney. What is a good analogy to explain the concept of “data fabric”? A good analogy to explain the concept of “data fabric” is a city’s transportation system. In a city, there are various means of transportation (roads, trains, buses, bike lanes, and walking paths) that allow people to move between different areas.

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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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Generic orchestration framework for data warehousing workloads using Amazon Redshift RSQL

AWS Big Data

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL. You can also integrate AWS services like Amazon EMR , Amazon Athena , Amazon SageMaker , AWS Glue , AWS Lake Formation , and Amazon Kinesis to take advantage of all of the analytic capabilities in the

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MLSE looks to revolutionize sports experience with digital R&D lab

CIO Business Intelligence

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience. In Toronto, Maple Leaf Sports & Entertainment (MLSE), the largest sports entertainment organization in Canada and one of the largest in North America, is facing off

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5 Data Management Challenges with Solutions

KDnuggets

This report provides an overview of the challenges that arise in data management and the solutions that can help overcome these challenges.

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Smarten Support Portal Updates – March – 2023!

Smarten

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles SSDP : Dataset Action Item Status (Active/Inactive) Not Saved Permanently Publishing Reports : User list empty while publishing object Working with Dashboard : Improve dashboard loading performance for dashboards with multiple objects Predictive Use cases Handling Missing Va

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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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The future of manufacturing: digital twins for enhanced efficiency and agility

3AG Systems

The manufacturing sector is changing rapidly, fueled by the demand for real-time data, shop floor predictability, and data-driven decision-making. To stay competitive and agile, manufacturers are adopting immersive technologies like digital twins, virtual reality, and real-time 3D models, transforming how they design, build, and manage facilities. Digital Twins: Powering the Technological Revolution Digital twins, real-time digital replicas of physical assets, are at the heart of this transforma

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Open Data Lakehouse powered by Iceberg for all your Data Warehouse needs

Cloudera

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We are also receiving several requests to share more details on how key data services in CDP, such as Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), Cloudera Machine Learning ( CML ), Cloudera Data Flow ( CDF ) and Cloudera Stream Proce

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Unlocking value and success for partners

CIO Business Intelligence

By Hock Tan, Broadcom President & CEO In the years that I have led Broadcom, I have found two things to be true for technology leaders: First, success with your customers starts with success with your ecosystem partners; and second, driving ecosystem growth is key to maintaining the growth of your own business. This is why, at Broadcom, we bring innovation, investment and attention into our making customer value a lasting reality through our pioneering partner programs.

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Struggling with Inefficient Processes? Process Mining Can Help

Jet Global

Every organization contends with numerous moving parts that drive business forward. But they can be inefficient and convoluted – in fact, Forrester research shows that 71% of organizations use 10 or more applications for a single business process. To make matters worse, only 16% of companies have complete visibility over their own processes. This is where process mining can help.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.