Sat.Jul 03, 2021 - Fri.Jul 09, 2021

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Build Sketches from Photographs using OpenCV

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table of content What is OpenCV and its Uses Project Explanation. The post Build Sketches from Photographs using OpenCV appeared first on Analytics Vidhya.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. Before we start, I have a few questions for you. What attributes of your organization’s strategies can you attribute to successful outcomes? How long do you deliberate before taking specific deliberate actions?

Strategy 266
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2021 Value Index for Analytics Rates Microsoft with Assurance

David Menninger's Analyst Perspectives

We are happy to share some insights about Microsoft Power BI drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 242
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Establishing Rapport With Critical Stakeholders

BA Learnings

We’ve all encountered problems in our attempts to communicate business insights. Managing denial and setting expectations requires a positive rapport with critical stakeholders if we are to overcome these issues. To bridge communication gaps, understand why establishing a good rapport is vital. Then, apply these methods to building relationships with your most important stakeholders.

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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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How to choose an appropriate Machine Learning Algorithm for Data Science Projects?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I am going to explain the steps. The post How to choose an appropriate Machine Learning Algorithm for Data Science Projects? appeared first on Analytics Vidhya.

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Marketing Analytics: Attribution Is Not Incrementality

Occam's Razor

One of the business side effects of the pandemic is that it has put a very sharp light on Marketing budgets. This is a very good thing under all circumstances, but particularly beneficial in times when most companies are not doing so well financially. There is a sharper focus on Revenue/Profit. From there, it is a hop, skip, and a jump to, hey, am I getting all the credit I should for the Conversions being driven by my marketing tactics?

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Can Online Machine Learning Tools Help with Personal Financial Management?

Smart Data Collective

Artificial intelligence is rapidly changing the state of finance. There is a lot of discussion about financial institutions relying on AI technology to better serve their customers. Intuitively, this also means that consumers stand to benefit from advances in artificial intelligence as well. However, they should not be passive about waiting for their bank, insurance company or other financial institution to advise them about new technology that can assist them.

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12 Matrix Operations You Should Know While Starting your Deep Learning Journey

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction If you start to learn deep learning, the first thing. The post 12 Matrix Operations You Should Know While Starting your Deep Learning Journey appeared first on Analytics Vidhya.

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Reflecting on Cloudera’s Commitment to Address Workplace Inequality: One Year Later

Cloudera

It’s been a year of awakening and change across the U.S. and around the world. One year ago our CEO Rob Bearden vowed to take decisive action to make Cloudera a more diverse, equitable, and inclusive place to work and have Cloudera take an active role in promoting those attributes in the tech industry and our communities. . There is no one size fits all solution to creating an intentional and strategic plan for a diverse workforce.

Finance 124
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Sisense is Vendor of Merit for Analytics and Data Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about Sisense drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 245
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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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Is Machine Learning Changing Our Approach to Asset Management?

Smart Data Collective

Wealth and asset management has come a long way, evolving through the use of artificial intelligence, or AI solutions. It is not meant to replace people and threaten their livelihood, but to strengthen the connection between businesses and their customers. Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry.

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All Fundamentals of Python Functions that You Should Know – A Quick Brush Up!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, you’ll learn about Python functions and their applications. The post All Fundamentals of Python Functions that You Should Know – A Quick Brush Up! appeared first on Analytics Vidhya.

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4 Considerations When Building Your Government Data Strategy

Cloudera

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. While certainly not a new concept, Government missions are wholly dependent on real time access/analysis of data (wherever it may be (legacy data centers or public cloud) to render insight to support operational decisions.

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Infor Gets Assurance Rating for Analytics and Data Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about Infor Birst drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 226
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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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Understanding the Benefits And Risks Of Relying on AI

Smart Data Collective

John McCarthy invented the term Artificial Intelligence back in 1950. He said, “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves.”.

Risk 140
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Shipping your Machine Learning Models With Dockers

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Docker is a platform that deals with building, running, managing, The post Shipping your Machine Learning Models With Dockers appeared first on Analytics Vidhya.

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Two Ways to Migrate Hortonworks DataFlow to Cloudera Flow Management

Cloudera

Hortonworks DataFlow (HDF) 3.5.2 was released at the end of 2020. The new releases will not continue under HDF as Cloudera brings the best and latest of Apache NiFi in the new Cloudera Flow Management (CFM) product. Getting the latest improvements and new features of NiFi is one of many reasons for you to move your legacy deployments of NiFi on this new platform.

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Humans and AI: AI, Marketing, and Behavioral Economics

DataRobot

Who loves paying taxes? No one? I thought so. Yet it’s possible to nudge people to more willingly pay their taxes on time. The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. One of its more successful experiments is the use of peer pressure to improve tax collection.

Marketing 105
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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.

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Leveraging Social Analytics for Optimizing Your Marketing Strategy

Smart Data Collective

Analytics is extremely important for any company that wants to get the most out of its marketing efforts. Social media marketing is no exception. It is impossible to create an effective social media marketing strategy without utilizing big data analytics effectively. You need to learn how to use big data and social analytics with your marketing strategy.

Marketing 125
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Topic modeling With Naive Bayes Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Naive Bayes is a powerful tool that leverages Bayes’ Theorem. The post Topic modeling With Naive Bayes Classifier appeared first on Analytics Vidhya.

Modeling 354
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When Data Virtualization Makes the Difference

Data Virtualization

In a previous post, I talked about some key data virtualization concepts and the types of professionals who can benefit the most from it. Data virtualization is not only beneficial in certain specific areas, but it can really make a. The post When Data Virtualization Makes the Difference appeared first on Data Virtualization blog.

IT 105
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Error Metrics: How to Evaluate Your Forecasts

Jedox

When considering the performance of any forecasting model, the prediction values it produces must be evaluated. This is done by calculating suitable error metrics. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. They give us a way to more objectively gauge how well the model executes its tasks.

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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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Using Data Analytics for Selecting Staff Augmentation & Managed Services

Smart Data Collective

Many companies have discovered that it is very difficult to find a pool of talented employees. Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes.

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15 Python Built-in Functions which You Should Know while learning Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In my previous article, I completely discuss all the basic. The post 15 Python Built-in Functions which You Should Know while learning Data Science appeared first on Analytics Vidhya.

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Top 5 Questions to Ask When Preparing for a Technical Assessment

Dataiku

Congratulations — you’ve arrived at the assessment step in your recruitment process! This means both your resume and the first conversations you had with recruiters demonstrated that your profile could be a great match for your dream role, whether it’s data scientist, software engineer, or cloud architect. You should be proud. but the journey is not over yet.

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Data Management Enables eCommerce Success

TDAN

With the continuous evolution of technology and daily shifts in shopping trends, eCommerce is constantly adapting. Using reliable insights to keep up with rapid market changes, businesses are also deploying data mining and predictive analytics across massive amounts of clickstream and transactional data. However, today’s buying journey is no longer linear.

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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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How BIM Can Use AI to Increase Workflow Efficiency

Smart Data Collective

Ever since its emergence at the beginning of the century, building information modeling (BIM) has streamlined the construction process of buildings, up from their conception to execution. Acting as a powerful 3D design tool, BIM software like Revit allows its users to visualize the final end product and make modifications that integrate with the model seamlessly.

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Everything You Should Know about Iterables and Iterators in Python as a Data Scientist!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python is a beautiful Programming Language. Because of its flexibility. The post Everything You Should Know about Iterables and Iterators in Python as a Data Scientist! appeared first on Analytics Vidhya.

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Automated Data Storytelling Is Not the Future of Analytics

Juice Analytics

Automated data storytelling is the future of analytics. That’s the argument put forth by James Richardson during a conference hosted by automated data storytelling vendor Narrative Science (as reported here ). I've spoken to Mr. Richardson on a couple of occasions and deeply appreciate his understanding and enthusiasm for data storytelling. He's been a champion for data storytelling at Gartner for years.

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The Key Role of the Data Governance Partner

TDAN

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program. The person asking the question shared their opinion that people in these roles must play a […].

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.