Sat.May 22, 2021 - Fri.May 28, 2021

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Using Data Science and Artificial Intelligence in Your Tech Company

Smart Data Collective

As a tech company, you will always be looking for ways to develop. Using data science and artificial intelligence can be useful for this type of growth. While they share some similarities, there are also some differences between the two. You may be surprised to hear about the amazing benefits that AI offers for startups , especially those in the tech sector.

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Bitcoin Price Prediction Using Recurrent Neural Networks and LSTM

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Index Introduction Understanding Bitcoin Technologies used Getting real-time cryptocurrency data (bitcoin). The post Bitcoin Price Prediction Using Recurrent Neural Networks and LSTM appeared first on Analytics Vidhya.

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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly on Data

OpenAI’s text generating system GPT-3 has captured mainstream attention. GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. The output produced from this autocomplete bot can be used to manipulate people on social media and spew political propaganda, argue about the meaning of life (or lack thereof) , disagree with the notion of what differentiates a hot-dog from a sandwich , take upon the

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The Ethics of AI Comes Down to Conscious Decisions

Cloudera

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Right now, someone somewhere is writing the next fake news story or editing a deepfake video. An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it.

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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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Advantages of Using Microsoft Azure for Data Preservation and Security

Smart Data Collective

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure. It has not gained as much acceptance yet as it likely will in the near future, despite its benefits.

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Top 7 Must Have Books for Deep Learning!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon “Somethings never change, their essence and contributions remain the same till. The post Top 7 Must Have Books for Deep Learning! appeared first on Analytics Vidhya.

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Epidemiologist Michal Mina Says Lack of Cheap, At-Home Testing Is Making COVID-19 Worse

DataRobot

For more than a year, the world has been grappling with the COVID-19 pandemic—easily the worst public-health crisis since the 1918 flu pandemic. More than half a million Americans have died from the novel coronavirus, and as of this writing India is seeing more than 300,000 new cases each day. With that alarming background, this seemed like an extremely appropriate time to talk with Michael Mina, an Assistant Professor of Epidemiology at Harvard T.

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Make These Three AI Marketing Mistakes at Your Peril

Smart Data Collective

Artificial intelligence is dramatically altering the future of business as we know it. A growing number of companies are finding that AI is helping them reach more customers through more targeted advertisements and data-driven customer engagement strategies. How much are companies investing in AI marketing strategies? One study found that 51% of major ecommerce companies are investing in AI to automate their marketing channels.

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How to Fetch Data using API and SQL databases!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Getting complete and high-performance data is not always the case. The post How to Fetch Data using API and SQL databases! appeared first on Analytics Vidhya.

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Top 5 Report Maker Software & Reporting Software

FineReport

How to Make Reports Outstanding? In the era of data driving the decision, the importance of reporting and analytics is increasingly recognized by organizations. Two things can help you be a great report maker. The first is clear design thinking, and the second is efficient report writing software. Here I list 5 top report maker software. Some are Saas Reporting software and some are on-promise software, and most of them provide a free version for trial or for personal use.

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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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Dashboard Design and “The Big Picture” in Dataviz: A Conversation with Steve Wexler

Depict Data Studio

I recently had the chance to talk with Steve Wexler, founder of Data Revelations, author of The Big Picture: How to Use Data Visualization to Make Better Decisions- Faster and co-author of The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios. Steve joined as a special guest for the Dashboard Design Full Course where participants get hands-on training and access to special guest speakers in real time. .

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Will Data Analytics Help Mercedes Meet 2030 Carbon Reduction Targets?

Smart Data Collective

The automotive industry has been far more reliant on big data than most other sectors in recent years. A growing number of major automobile manufacturers have started using data analytics and AI to improve production. There have been a number of clear advantages of using big data to manufacture automobiles. Automotive companies have found that data technology can help them produce vehicles more quickly, reduce production costs and ensure greater safety standards.

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All you need to know about your first Machine Learning model – Linear Regression

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction If you are reading this article, I am assuming that. The post All you need to know about your first Machine Learning model – Linear Regression appeared first on Analytics Vidhya.

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How To Write a Weekly Report Like An Expert

FineReport

Communication is vital in the workplace. When it comes to making every member engaged, having a weekly report is handy for most teams. To summarize the task progress to managers will help you manage the work well. It is helpful to keep everyone updated on the current project status. Often, writing a report every week means a list of procedures. This article introduces the definition, formats, templates, and helpful suggestions for writing weekly reports efficiently.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Data Storytelling Is a Sandwich

Juice Analytics

What is made out of layers and becomes more delicious when you put them together? Why…a data story, of course! And a sandwich. (This is what happens when you write a blog post after learning your favorite sandwich shop is closing down…we’ll miss you Clawson’s ?? ). Sara Cervera via Unsplash. What are those layers? An effective data story should have four distinct parts, not unlike the layers of a sandwich: The filling : Whether deli meat or peanut butter & jelly, the filling is the heart of

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5 Sure-Fire Tips How AI Is Going to Improve Fintech in 2021

Smart Data Collective

AI (Artificial Intelligence) and ML (Machine Learning) will bring improvement in Fintech in 2021 as the accuracy and personalization of payment, lending, and insurance services while also assisting in the discovery of new client pools. Artificial intelligence (AI) and machine learning (ML) are two technologies that use digital technology to improve conventional financial services and solutions.

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Introduction to Python Programming (Beginner’s Guide)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello Guys, Today’s blog is all about starting the journey. The post Introduction to Python Programming (Beginner’s Guide) appeared first on Analytics Vidhya.

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The World of AI Is Shifting, Even in the US

Dataiku

As with all other key aspects of the economy, the global health crisis we are going through is having a deep impact on AI developments in organizations. COVID-19 acts as a catalyst for reinforced data usage: many companies need to develop a strong data-supported understanding of the new normal — and react accordingly. Yet, this shouldn’t overshadow other structuring trends happening in the background, starting with the emergence of a new regulatory framework which will deeply reshape how AI is s

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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The Gold Standard – The Key to Information Extraction and Data Quality Control

Ontotext

We often want computers to do the tasks we give them the way people do. But, as Ontotext’s CEO Atanas Kiryakov often says, we forget that nobody nurtures the Artificial Intelligence (AI) systems for 7 years to learn how to walk, talk, count, read, write and, even more important, not touch hot stoves and avoid tilting full glasses and asking: Can I get 3 more cookies?

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AI Paves the Way for a New Era of Electric Motorbikes

Smart Data Collective

Big data has led to a lot of major changes in the automotive sector. These changes don’t just apply to regular sedans. They also apply to more niche vehicle markets, such as electric motorbikes. AI technology is leading a number of massive breakthroughs in this novel industry. AI is Radically Changing the Future of Electric Motorbikes. Electric cars are nothing new, but AI technology has clearly impacted the market.

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How Data Science and Business Intelligence Can improve Strategic Planning in organizations?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data Science deals with data and is very useful these. The post How Data Science and Business Intelligence Can improve Strategic Planning in organizations? appeared first on Analytics Vidhya.

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Easing Data Woes and Creating Tangible Business Value Through Data Virtualization in the Financial Services Industry

Data Virtualization

Data is becoming increasingly important for understanding markets and customer behaviors, optimizing operations, deriving foresights, and gaining a competitive advantage. Over the last decade, the explosion of structured and unstructured data as well as digital technologies in general, has enabled. The post Easing Data Woes and Creating Tangible Business Value Through Data Virtualization in the Financial Services Industry appeared first on Data Virtualization blog.

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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.

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Pushing Past Pilot Paralysis to Launch and Scale IIOT Use Cases

Cloudera

With billions of industrial IoT (IIOT) devices in place, generating massive volumes of data from “the edge,” the potential for proof of concept success for use cases in the factory can be paralyzing. While the value of this digital revolution, aka Industry 4.0, is clear, realizing the full promise has been slow. Research and real-life experience from Accenture shows that many manufacturers get stuck early on or can’t get beyond proof-of-concept pilots to scale.

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Organizations Use Robotic Polishing for AI-Driven Manufacturing

Smart Data Collective

A number of manufacturers have started using artificial intelligence more than ever. They have found that AI is a vital component of their operations, so it cannot be overlooked. ResearchandMarkets.com projects that the market for AI in manufacturing will be worth $16.7 billion by 2026. One of the many awesome things about AI is that it can help streamline the manufacturing process.

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Tuning the Hyperparameters and Layers of Neural Network Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Last time I wrote about hyperparameter-tuning using Bayesian Optimization: bayes_opt. The post Tuning the Hyperparameters and Layers of Neural Network Deep Learning appeared first on Analytics Vidhya.

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AI and Fire: They Have More in Common Than You Think

Dataiku

This blog is a guest post from our friends at NTT Data , a digital business and IT services leader. NTT Data leverages deep industry expertise and leading-edge technologies powered by AI, automation and cloud to create practical and scalable solutions that contribute to society and help clients worldwide.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Session-based Recommender Systems

Cloudera

Recommendation systems have become a cornerstone of modern life, spanning sectors that include online retail, music and video streaming, and even content publishing. These systems help us navigate the sheer volume of content on the internet, allowing us to discover what’s interesting or important to us. The classic modeling approaches to recommendation systems can be broadly categorized as content-based, as collaborative filtering-based, or as hybrid approaches that combine aspects of the two.

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Four slightly less obvious benefits of Amazon’s Just Walk Out Technology

Mark Raskino

[Reminder: this blog is personal observation, not Gartner research. I am a digital business generalist. I do not cover retail technology]. Earlier this year an Amazon Fresh store arrived in my West London neighbourhood. I have visited it quite a few times now. I enjoy the Just Walk Out technology but there’s nothing new to be said about the customer experience – so I won’t.

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Pneumonia Prediction: A guide for your first CNN project

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep Learning is a very powerful tool that has now. The post Pneumonia Prediction: A guide for your first CNN project appeared first on Analytics Vidhya.

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Simplified Project Deployment With Dataiku 9

Dataiku

One of the critical challenges for analytics and AI projects is the leap from design to production. After creating projects, data teams need models and pipelines to run on production data sources and environments to make predictions and drive business decisions. Manual project deployment is resource-intensive and can result in mistakes and rework that lead to delays and frustration.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.