Sat.Feb 20, 2021 - Fri.Feb 26, 2021

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ML Model Deployment with Webhosting frameworks

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction With the motivation of award-winning from Analytics Vidhya Blogathon3 continuing. The post ML Model Deployment with Webhosting frameworks appeared first on Analytics Vidhya.

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The 2021 Market Agenda for Analytics: Converting Data Into Insights

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2021 market agenda for Analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

Marketing 218
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Product Management for AI

O'Reilly on Data

A couple of years ago, Pete Skomoroch, Roger Magoulas, and I talked about the problems of being a product manager for an AI product. We decided that would be a good topic for an article, and possibly more. After Pete and I wrote the first article for O’Reilly Radar, it was clear that there was “more”–a lot more. We then added Justin Norman, VP of Data Science at Yelp, to the team.

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How Will Regulation Reshape Enterprise AI Initiatives?

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. In an environment compatible with remote work, COVID-19 acts as a catalyst for proper data usage: many companies need to develop a strong data-supported understanding of the new normal — and react accordingly.

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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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Basics of Natural Language Processing(NLP) for Absolute Beginners

Analytics Vidhya

ArticleVideo Book Introduction According to industry estimates, only 21% of the available data is present in a structured form. Data is being generated as. The post Basics of Natural Language Processing(NLP) for Absolute Beginners appeared first on Analytics Vidhya.

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Data in 2021: Ventana Research Market Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2021 Market Agenda for data, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value and improve business outcomes.

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How Startups Can Formulate Data-Driven Marketing Strategies Using AI

Smart Data Collective

We have talked a lot about the benefits of big data in marketing. The global marketing analytics market was worth $2.1 billion in 2019. This figure is expected to rise sharply in the future as more companies are likely to discover the benefits data-driven marketing affords. Understanding the Benefits of Data-Driven Marketing. You have launched your startup.

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Machine Learning 101: Decision Tree Algorithm for Classification

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Learn about the decision tree algorithm in machine learning, The post Machine Learning 101: Decision Tree Algorithm for Classification appeared first on Analytics Vidhya.

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Inside 2021 ML Trends: Reinforcement Learning and AutoML

Dataiku

In January, our Dataiku Lab team presented their annual findings for up-and-coming machine learning (ML) trends , based on the work they do in machine learning research. In this series, we're going to break up their key topics (trustworthy ML, human-in-the-loop ML, causality, and the connection between reinforcement learning and AutoML) so they're easy for you to digest as you aim to optimize your ML projects in 2021.

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Black History Month 2021: Be the light

Cloudera

Be the light – Accepting the call to become the change we seek. As Black History Month comes to a close, global communities and companies alike are left reflecting on recent historical events with shock, awe and a commitment to drive change. We find ourselves faced with the unhealed wounds of our past, a defining moment for our future and an opportunity to become the change we seek as citizens and professionals. .

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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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5 Reasons Data-Driven Startups Should Be Using React JS

Smart Data Collective

Data-driven businesses are finding a number of great strategies that have proven to be remarkably effective. There are a number of tools that use big data to help them improve their business models. A lightweight but powerful, data-driven tool for creating user interfaces, React JS is an open-source JavaScript library originally developed by an employee at Facebook.

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Quick Notes on the Basics of Python and the NumPy Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Champions are brilliant at the. The post Quick Notes on the Basics of Python and the NumPy Library appeared first on Analytics Vidhya.

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How to Write Analytical Report Effectively? Free Template Examples

FineReport

Most projects at work involve lengthy and jumbled data, wherefore well-structured analytical reports are particularly important. This article shows you all the major topics that you care about in analytical reporting: What is Analytical Report? Analysis Report Examples How to Write Analytical Reports Effectively? What is Analytical Report? An analytical report is a type of data analysis report that provides information, analysis, and opinions on particular business processes issues.

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Paginated Reports eBook Finally Released

Paul Turley

At last, the second edition of “SQL Server Report Recipes” written by Paul Turley, Robert Bruckner and a host of contributors; is being released, a few recipes at a time. This time around, it will be a free book published through my blog and perhaps other sources.

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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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Big Data and the Use of Satellite Imagery

Smart Data Collective

The scope of satellite big data applications has dramatically increased lately. Satellite companies offer commercial high-resolution images, and computer companies provide mighty cloud facilities to process them. Basically, while one company retrieves images, the other one ensures their computing. Spatial data helps almost in any niche of human activities.

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Introduction to Reinforcement Learning for Beginners

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Reinforcement Learning, seems intriguing, right? Here in this article, we. The post Introduction to Reinforcement Learning for Beginners appeared first on Analytics Vidhya.

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Bringing the Office of Finance Into the Age of AI With Dataiku

Dataiku

When choosing a data science use case , it’s important to identify the potential business value (i.e., who will the project benefit, how will it change their current processes and habits), the level of necessary effort, and the likelihood of success (how much risk is involved). No matter the industry, often a great place to start for AI use cases is the office of finance within an organization, as the teams within that group work with a significant amount of data and do a lot of spreadsheet-base

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PODCAST: Making AI Real – Episode 3: Empowering HR Organizations with Automated Business Surveillance Systems

bridgei2i

PODCAST: Making AI Real. Episode 3: Empowering HR Organizations with Automated Business Surveillance Systems. Listening time: 11 minutes. Empowering HR Organizations with Automated Business Surveillance Systems. In our latest episode of the AI to Impact podcast, host Monica Gupta – Manager of AI Actions, meets with Sunil Mudgal – Advisor, Talent Analytics, BRIDGEi2i, to discuss the benefits of adopting AI-powered surveillance systems in HR organizations.

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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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Five Proven Lead Generation Strategies to Merge with Data Analytics

Smart Data Collective

Data analytics is very important to the future of marketing. A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. This is important, since AI is integral to modern lead generation. But what lead generation strategies can you use in conjunction with your data analytics tools.

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A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional

Analytics Vidhya

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

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Top Trends in Data and Analytics for 2021

Andrew White

The D&A trends for 2021 covered in this research can help organizations respond to change, uncertainty and the opportunities they bring over the next three years. D&A leaders must examine how to turn these trends into mission-critical investments that accelerate their capabilities to anticipate, shift and respond. Engineering Decision Intelligence.

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How to Build Machine Learning Models

Dataiku

Machine learning has become more and more accessible in the last few years. Thanks to advancements in automated machine learning (AutoML), collaborative AI , and machine learning platforms (like Dataiku ), the use of data — including for predictive modeling — across people of all different job types is on the rise. You don’t have to be an expert coder, data scientist, or engineer to master machine learning anymore.

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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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Big Data Platforms Assist with Spreading Health and Safety Awareness

Smart Data Collective

We have talked extensively about the multitude of benefits that big data provides to companies in every sector. While most of our discussions focus around the financial benefits of data technology to these organizations, there are some more holistic advantages as well. One reason to invest in big data technology is to help educate the populace and key decisionmakers about health and safety practices.

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How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes

Analytics Vidhya

ArticleVideo Book Introduction Decision Trees are probably one of the common machine learning algorithms and this is something every Data Science beginner should know. The post How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes appeared first on Analytics Vidhya.

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Using Data Lineage in a Hybrid BI Environment

Octopai

If only fairy godmothers came around offering to turn our BI legacy systems into modern, cloud-based ones with the touch of a wand and a “Bibbidi-bobbidi-boo!”. Alas, it’s more likely that you’ll turn into a pumpkin. BI modernization is a bumpy road. Even once your company decides to move in that direction, your legacy systems can’t just magically disappear or migrate themselves.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear. However, only 4% of enterprise executives today report seeing success from their ML investment.

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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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5 Reasons Hospitals Need to Invest in Data Security

Smart Data Collective

Hospitals and healthcare facilities around the world hold highly sensitive information about their patients. Living in a digital age where cybersecurity threats continue to evolve, it’s understandable that there are huge concerns about healthcare data security. What’s more, these data breaches and malware attacks can compromise patient health records, with personal information being sold on the dark web.

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Sentiment Analysis: Predicting Sentiment Of COVID-19 Tweets

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Hi folks, I hope you are doing well in these. The post Sentiment Analysis: Predicting Sentiment Of COVID-19 Tweets appeared first on Analytics Vidhya.

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Meet Melissa, AI Product Manager at Dataiku!

Dataiku

Ever wanted to know more about the people behind your favorite Enterprise AI platform? You're in luck — every few weeks, meet one of the humans at Dataiku working every day to ensure customers and users find success on their path to Enterprise AI. This week, we spoke with Mike Bukowski , VP of Strategic Sales, to help us learn more about Melissa Capece , AI Product Manager.

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Building loyalty with data and analytics

Cloudera

In 1969, my aunt graduated from university and joined IBM, the dominant player in the nascent tech industry at the time. She remained at “Big Blue” where she met and married my uncle, and rose up through the management ranks, until their joint semi-retirement exactly 30 years later. She recently told me, “the only way you could get fired in those days was to murder someone, embezzle or steal”.

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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.