Sat.Jan 02, 2021 - Fri.Jan 08, 2021

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The Lifecycle of Data

TDAN

Most data is not static. No, data has a life in which it changes, is used for perhaps multiple purposes, and gets moved all over the place. So, it makes sense to think about the lifecycle of your data at your organization. The accompanying diagram helps to demonstrate this lifecycle. Basically, there are three major […].

IT 91
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9 Tips for a Seamless Transition to Data Science for Absolute Noobs!

Analytics Vidhya

ArticleVideos Overview The data science industry is growing exponentially It is important to have a clear understanding of the very basic questions before you. The post 9 Tips for a Seamless Transition to Data Science for Absolute Noobs! appeared first on Analytics Vidhya.

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Data-driven 2021: Predictions for a new year in data, analytics and AI

DataKitchen

The post Data-driven 2021: Predictions for a new year in data, analytics and AI first appeared on DataKitchen.

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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

If there’s one industry that had previously remained fairly untouched from the technological advancements, it is the sports domain. However, over time the sector is getting introduced with several new generation technologies intended to make it efficient and smart. We have recently seen a number of technological developments that have impacted sports.

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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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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Cloudera

Introduction. Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. For data professionals that want to make use of data stored in HBase the recent upstream project “hbase-connectors” can be used with PySpark for basic operations.

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GPT-3 THE NEXT BIG THING! Foundation of Future?

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Did you ever have a thought or a wish that. The post GPT-3 THE NEXT BIG THING! Foundation of Future? appeared first on Analytics Vidhya.

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Improving Population Health Through Citizen 360

Teradata

By leveraging data to create a 360 degree view of its citizenry, government agencies can create more optimal experiences & improve outcomes such as closing the tax gap or improving quality of care.

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30 Best Manufacturing KPIs and Metric Examples for 2021 Reporting

Jet Global

What is an Operations KPI? An Operations Key Performance Indicator (KPI) or metric is a discrete measurement that a company uses to monitor and evaluate the efficiency of its day-to-day operations. These operations KPIs help management identify which operational strategies are effective, and those that inhibit the company. Why Your Company Should Be Using Operational Metrics to Stay Competitive.

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Explain How Your Model Works Using Explainable AI

Analytics Vidhya

ArticleVideos Can you explain how your model works? Meet XAI! Artificial intelligence techniques are used to solve real-world problems. We get the data, perform. The post Explain How Your Model Works Using Explainable AI appeared first on Analytics Vidhya.

Modeling 395
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DataOps Facilitates Remote Work

DataKitchen

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance.

Testing 147
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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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The Art and Science of FP&A Storytelling

Timo Elliott

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science.

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Understanding The Phenomenal Impact of Social Data on B2B Funnels

Smart Data Collective

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. For B2B sales and marketing teams, few metaphors are as powerful as the sales funnel. It’s a near-supernatural, multi-layered vortex that pulls in leads from the wider world, then draws them down toward closing.

B2B 124
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What is it Like to Be a Data Scientist in 2021?

Analytics Vidhya

ArticleVideos Overview The rise in demand for data scientist continues in 2021 too Understand what is it like to be a Data Scientist in. The post What is it Like to Be a Data Scientist in 2021? appeared first on Analytics Vidhya.

IT 397
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Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment

DataKitchen

In Gartner’s recent report, Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment , Robert Thanaraj and Erick Brethenoux recognize that “organizations are not familiar with the processes needed to scale and promote artificial intelligence models from the prototype to the production stages; resulting in uncoordinated production deployment attempts.”.

Testing 130
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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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Object Detection With Deep Learning on Aerial Imagery

Dataiku

Imagine you’re in a landlocked country, and a mystery infection has spread. The government has fallen, and rebels are roaming the country. If you’re the armed forces in this scenario, how do you make decisions in this environment? How can you fully understand the situation at hand?

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Data Governance is Vital to the Future of a World Ruled by Artificial Intelligence

Smart Data Collective

Artificial intelligence has been a huge revolutionary advance for modern consumers and businesses. It has led to some of the most important and pressing discoveries. The market was worth $39.9 billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027. However, there are a few fundamental things that we need to understand to make it work for us.

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Beginner’s Guide to Pearson’s Correlation Coefficient

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction When we try to infer something from what we have. The post Beginner’s Guide to Pearson’s Correlation Coefficient appeared first on Analytics Vidhya.

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An Expert Under the Hood: White-Label Reports and Dashboards

Sisense

Blog. What are white-labeled reports White-label reports: Under the hood Exploring white-label dashboards Use case snapshots Horsepower under the hood. Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time.

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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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Simple Tricks To Up-level Your Analytics Reports.

Occam's Razor

Like you, I consume a whole lot of reports every day – company data, public data. Many are acceptable, some are very good and all the rest leave me extremely frustrated with both the ink and the think. People make so many obvious mistakes. Sometimes repeatedly. Just yesterday I was quietly seething because none of visuals included in the report contained any context to understand if the performance I was looking at was good or bad.

Reporting 113
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New Applied ML Research: Few-shot Text Classification

Cloudera

Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information. Classifying user-generated content allows for more nuanced sentiment analysis. And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. .

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OpenAI’s Future of Vision: Contrastive Language Image Pre-training(CLIP)

Analytics Vidhya

ArticleVideos Introduction 2021 has begun with a bang! OpenAI has released two major innovations in the field of Computer Vision: CLIP and DALL-E. The. The post OpenAI’s Future of Vision: Contrastive Language Image Pre-training(CLIP) appeared first on Analytics Vidhya.

Analytics 301
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insightsoftware Acquires Certent, Inc.

Jet Global

Deal extends insightsoftware’s comprehensive solution portfolio for the Office of the CFO with equity and disclosure management capabilities. RALEIGH, N.C. – January 7, 2021 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, today announced it has acquired Certent, a leading provider of software-as-a-service solutions for financial disclosure management and equity management.

Finance 105
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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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The Denodo Platform and the Internet of Things

Data Virtualization

In this post, I would like to share some ideas about how data virtualization and the Denodo Platform can be helpful in the exciting new world of edge computing, or the Internet of Things (IoT). The idea of the.

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“Without Data, Nothing” — Building Apps That Last With Data

Sisense

Blog. Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. In philosophy, a “sine qua non” is something without which the phenomenon under consideration cannot exist. For modern apps, that “something” is data and analytics.

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Kaggle Grandmasters Series – Exclusive Interview with World’s First Woman 2x Kaggle Grandmaster Usha Rengaraju

Analytics Vidhya

ArticleVideos The Kaggle Grandmaster series has always tried to break a myth in each of its interviews. It is no different in this 10th. The post Kaggle Grandmasters Series – Exclusive Interview with World’s First Woman 2x Kaggle Grandmaster Usha Rengaraju appeared first on Analytics Vidhya.

Analytics 271
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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

I think it’s fair to say that we’re all glad to usher in a New Year. Unexpected, unprecedented and disruptive, 2020 required radical transformation – within global organizations and our day-to-day lives. Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go.

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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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5 Benefits of Business Process Automation

TreehouseTechGroup

Business scenarios are more complex today than ever before. To survive in today’s highly competitive climate, organizations must carefully use available resources, avoid wastage, and cut down operational costs. The pressure on margins is driving organizations to look for technology to support these measures towards gaining operational efficiencies. Automation technologies provide many benefits that help… The post 5 Benefits of Business Process Automation appeared first on Treehouse Tech Gr

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Easy Excel-Based Reporting That Eliminates Data Dumping

Jet Global

Webinar Date: January 28, 2021 at 1 PM Local Time. Americas. Register Now. (PST/EST). Europe, Middle East, Africa. Register Now. (GMT). Asia Pacific. Register Now. (AEDT). Exporting data from your ERP into Excel oftentimes results in manual, time-consuming, and error-prone analysis that slows down reporting. Imagine if you could streamline and automate your reporting process to eliminate manual data dumps.

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JupyterLab 3.0 is Out! Get your Hands on the Latest JupyterLab Now

Analytics Vidhya

ArticleVideos Overview JupyterLab is a brilliant coding environment to perform data science tasks JupyterLab releases JupyterLab 3.0 with some exciting changes and updates. The post JupyterLab 3.0 is Out! Get your Hands on the Latest JupyterLab Now appeared first on Analytics Vidhya.

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Can Data-Driven Accounts Receivable Management Strengthen Client Relationships?

Smart Data Collective

Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management. A decent AR (Accounts Receivable) management system is essential for the functioning of any business, no matter what industry you’re in.

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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.