December, 2020

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A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning!

Analytics Vidhya

Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.

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Open and free online data collection will fuel future innovations

Dataconomy

The saying “knowledge is power” doesn’t just apply to individuals but also businesses. While individuals can learn from books and life lessons, businesses need a tool to gather market insights. This is where online data collection comes in. It is one of the best tools because it provides up-to-date and. The post Open and free online data collection will fuel future innovations appeared first on Dataconomy.

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How Trucking Companies Use Telematics to Increase Trucking Safety

Smart Data Collective

As technology has advanced in the transportation industry, there’s a lot of data available that can enhance truckers’ safety all over the world. One recent example is the development of electronic logging devices (ELD) that monitor drivers’ Hours of Service (HOS) compliance. But there are other examples of how technology is improving truck driver safety – that’s what telematics is all about.

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What is the Right Response to Employer Misbehavior in Research?

Machine Learning (Theory)

I enjoyed my conversations with Timnit when she was in the MSR-NYC lab, so her situation has been on my mind throughout NeurIPS. Piecing together what happened second-hand is always tricky, but Jeff Dean’s account and Timnit’s agree on a basic outline. Timnit and others wrote a paper for FAccT which was approved for submission by the normal internal review process, then later unapproved.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Tableau Foundation partners reflect on 2020 and data for impact

Tableau

Neal Myrick. Global Head of the Tableau Foundation. Kristin Adderson. December 28, 2020 - 9:59pm. December 27, 2020. Addressing a global pandemic and economic crisis while also driving for change in other areas—from racial inequity to equitable education to hunger—is a monumental challenge. We are lucky to have amazing nonprofit partners tackling these issues.

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Cybersecurity Isn’t Going Anywhere in 2021: Expert Predictions Part One

Dataversity

Click to learn more about author Samantha Humphries. When reflecting on 2020, the effects of COVID-19 have touched nearly every corner of the globe, spanning continents, age groups and industries. The pandemic forced an almost overnight transformation in the way most businesses operate, particularly for those that did not already have cloud security tools in […].

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In Pod we trust: towards a transparent data economy

Dataconomy

polypoly Cooperative publishes a technical white paper featuring its core technology, the polyPod. The cooperative is the first of its kind: A pan-European data cooperative in which shareholder-members own and profit from the underlying technology. Download now! Things are totally out of control. We don’t know who has our data, The post In Pod we trust: towards a transparent data economy appeared first on Dataconomy.

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Machine Learning Could Slash Car Accident Casualties in Coming Years

Smart Data Collective

When most people consider the merits of machine learning, they typically think about its applications from a capitalist standpoint. There are countless ways that business owners are using machine learning advances to pad their bottom lines. However, policymakers, nonprofits and other experts are also finding machine learning applications that serve more benevolent purposes.

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Experiments with the ICML 2020 Peer-Review Process

Machine Learning (Theory)

This post is cross-listed on the CMU ML blog. The International Conference on Machine Learning (ICML) is a flagship machine learning conference that in 2020 received 4,990 submissions and managed a pool of 3,931 reviewers and area chairs. Given that the stakes in the review process are high — the careers of researchers are often significantly affected by the publications in top venues — we decided to scrutinize several components of the peer-review process in a series of experiments.

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Retail’s urgency: Addressing customer and inventory needs with data

Tableau

Jeff Huckaby. Market Segment Director, Retail and Consumer Goods, Tableau. Kristin Adderson. December 14, 2020 - 8:37pm. December 22, 2020. Retail already changed from being product to more customer-centric influenced by increasing omni-channel initiatives that encourage digital transformation. Then Covid-19 hit. What retailers learned is that they must be willing and able to adapt quickly to internal and external forces.

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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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How Big Data Enables One-to-One Marketing

Dataversity

Click here to learn more about Gilad David Maayan. What Is One-to-One Marketing A one-to-one marketing strategy strives to create an experience that fits the individual customer. Rather than segment customers into groups, one-to-one marketing strategies treat each customer individually. This is similar to how sales representatives remember details about each customer, like date of […].

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14 Free Data Science Books to Add your list in 2020 to Upgrade Your Data Science Journey!

Analytics Vidhya

Overview Here are 14 free data science books to get started and upgrade yourself on various fronts By no means is this an exhaustive. The post 14 Free Data Science Books to Add your list in 2020 to Upgrade Your Data Science Journey! appeared first on Analytics Vidhya.

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Twitter text analytics reveals COVID-19 vaccine hesitancy tweets have crazy traction

Dataconomy

Despite the good news emanating from COVID-19 vaccine trials, governments should understand hesitancy concerns to ensure a successful roll-out plan. The analysis identified 243,000 tweets from the UK and US that referred to a possible COVID-19 vaccine Hesitancy tweets were not just a more significant portion of the vaccine conversation, The post Twitter text analytics reveals COVID-19 vaccine hesitancy tweets have crazy traction appeared first on Dataconomy.

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Perplexing Impacts of AI on The Future Insurance Claims

Smart Data Collective

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. AI has moved forward in giant leaps over the last ten years, and new developments are being realized every day.

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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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Expanding Role of Data Governance, Metadata Management, and Data Quality

The Data Administration Newsletter

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated. Poor data quality costs the typical company between 10% and 20% of […].

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Build custom maps the easy way with multiple map layers in Tableau

Tableau

Ashwin Kumar. Senior Product Manager. Kristin Adderson. December 22, 2020 - 8:04pm. December 22, 2020. The Tableau 2020.4 release comes fully-loaded with tons of great features, including several key updates to boost your geospatial analysis. In particular, the new multiple marks layers feature lets you add an unlimited number of layers to the map. This means you can visualize multiple sets of location data in context of one another, and there’s no need for external tools to build custom backgro

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Th(re)e Things that Make Compliant Data Management Strategies

Dataversity

Click to learn more about author Stefan Vucicevic. Data Management has been changing tremendously. Each year, the volume of data we need to manage goes rapidly up, as does the number of sources where this data is generated. Previously, companies used email as the main source of communication. Today, email has given way to social […]. The post Th(re)e Things that Make Compliant Data Management Strategies appeared first on DATAVERSITY.

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Top 14 Artificial Intelligence Startups to watch out for in 2021!

Analytics Vidhya

Overview Reducing company costs, generating customer insights & intelligence, and improving customer experiences are the three most popular ML and AI use cases Here. The post Top 14 Artificial Intelligence Startups to watch out for in 2021! appeared first on Analytics Vidhya.

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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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Strange Myths About Digital Transformation

Dataconomy

This article was originally published at Grit Daily and is reproduced with permission. Some things are just guaranteed to set me off. Denying facts, poor quality chocolate, and unsubstantiated myths top the list, although not necessarily in that order. I’ve had my fair share of exposure to all three recently, The post Strange Myths About Digital Transformation appeared first on Dataconomy.

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4 Employee Experience Metrics Your Business Should Track

Smart Data Collective

How do your employees experience their professional lives? It’s a worthwhile question, yet one that can seem frustratingly vague or hard to measure – but it doesn’t have to be. Rather, as software companies craft new employee experience (EX) platforms designed around communication, data management, and feedback collection, businesses now have access to the perfect tools.

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The Business Case for a Common Language – Not “If,” but “What and When?”

The Data Administration Newsletter

Weinberg’s Second Law: If builders built buildings the way programmers wrote programs, then the first woodpecker that came along would destroy civilization.[1] Introduction Opportunity While most people don’t think about it very often, common language is essential to day-in, day-out commerce. Companies and others[2] employ standards to ensure that a meter is the same length world-wide, calendars ensure […].

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December Developer Platform news: Personal Access Tokens update, auto-disabling Webhooks, and JupyterLab integration

Tableau

Geraldine Zanolli. Developer Evangelist. Kristin Adderson. December 18, 2020 - 3:42am. December 18, 2020. Every month is like Christmas for Developer Program members because we strive to delight our members as we showcase the latest projects from our internal developer platform and tools engineers. For the last Sprint Demos, we featured some exciting updates: Personal Access Token impersonation, auto-disabling Webhooks, new Webhooks payload for Slack, and JupyterLab integration for the Hyper API

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Analyzing Gene Expression Data

Dataversity

Click to learn more about author Jeany Prinz. Express Yourself! All individuals are unique, and so are our data needs. From simple CSV files to REST APIs to Google’s BigQuery or using customized shared components, Data Science Analytics Platforms offer many ways to access and analyze your data. Today, we will demonstrate how to access […]. The post Analyzing Gene Expression Data appeared first on DATAVERSITY.

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Kaggle Grandmaster Series – Exclusive Interview with Andrey Lukyanenko (Notebooks and Discussions Grandmaster)

Analytics Vidhya

Introduction “In case you are only starting your journey, I suggest to read some great notebooks to understand what is interesting to people, then. The post Kaggle Grandmaster Series – Exclusive Interview with Andrey Lukyanenko (Notebooks and Discussions Grandmaster) appeared first on Analytics Vidhya.

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Private, Keep Out: Why there’s nothing to fear in the privacy era

Dataconomy

The continual evolution of the global data privacy landscape is a mostly positive trend. Still, it can also be confusing and concerning for businesses keen to ensure they don’t end up on the wrong side of data regulations. Recent developments include the enforcement of the California Consumer Privacy Act (CCPA). The post Private, Keep Out: Why there’s nothing to fear in the privacy era appeared first on Dataconomy.

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The Dream Team: Building The Ideal Product Team with Marvels of Data Analytics

Smart Data Collective

Big data is leading to a number of major changes in businesses all over the world. One of the biggest changes to come from new advances in data analytics is an improvement in product development. We mentioned that insights made with big data can be important for developing digital products , but they can also be useful for creating physical products, too.

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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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Alation 2020.4: Discussing Analyst Productivity with Andrea Levy, Data Science Lead at Alation

Alation

The post Alation 2020.4: Discussing Analyst Productivity with Andrea Levy, Data Science Lead at Alation appeared first on Alation.

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2021 Zen Masters: Nominations and applications are now open!

Tableau

Amanda Boyle. Tanna Solberg. December 8, 2020 - 12:25am. December 8, 2020. In their mastery of the Tableau platform, their desire to collaborate and help invent the Tableau solutions of tomorrow, and their dedication to helping our global community, Tableau Zen Masters stand out in a community of greatness. They are also our biggest advocates as well as our harshest critics, but by listening to and engaging with the Tableau Community, we build better software and, ultimately, a better company.

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How Universities and Tech Vendors Can Collaborate for the Future of Work

Dataversity

Click to learn more about author Tom Clancy. Over the last six months, the pandemic has dramatically changed the way we live and work – forcing organizations to turn to digital tools to mitigate challenges posed by the suddenly remote working world. In fact, a new McKinsey study found that 85% of C-suite executives reported a significant acceleration […].

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Feature Engineering Using Pandas for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview: Feature engineering is one of the most critical steps of the. The post Feature Engineering Using Pandas for Beginners appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.