March, 2022

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Explorium Improves Machine Learning Models With External Data

David Menninger's Analyst Perspectives

Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gaining competitive advantage, improving customer experience and increasing sales. But getting the right external data for a particular requirement is not always easy.

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DogeCoin Prediction Using Time Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin? Implementation of Dogecoin price prediction Conclusion Introduction Machine learning will automate jobs that most people thought could […].

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Machine Learning Pipeline Optimization with TPOT

KDnuggets

Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.

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Engineering a Successful New Car: Starting a New F1 Season with McLaren Racing

DataRobot Blog

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.

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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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Don’t ignore virtual reality as you plan the future workplace

CIO Business Intelligence

Accenture hires thousands of people each year. It’s an expensive process that traditionally has involved flying people to central hubs for training and orientation. Two years ago, the consulting giant started shipping many of its recruits virtual reality headsets instead. At the same time, it created a virtual world or “metaverse” that enables employees to socialize, form teams, conduct training, and collaborate.

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Data Analytics and Social Media: Twin Pillars in the Evolution of Business

Smart Data Collective

META: We’re breaking down the ways social media has changed businesses and how you can use these changes to get ahead. Digital technology is unquestionably changing the future of business. Two of the biggest advances in technology that are influencing the direction of business are social media and data analytics. These may seem like unrelated technologies to the average person, but they are actually closely intertwined.

More Trending

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Let’s Find Out How to Make Engaging Videos?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].

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WTF is a Tensor?!?

KDnuggets

A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.

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Data is Risky Business: Thinking the Unthinkable

TDAN

This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].

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3 data and analytics trends that will dominate 2022

CIO Business Intelligence

Data analytics is a domain in constant motion. Early in 2020, it seemed clear that organizations would continue to invest heavily in analytics to support their digital transformations. The COVID-19 pandemic emerged as a major disruptor. Early in the pandemic, it seemed organizations might waylay data and analytics advancements to retrench and focused on other pressing priorities like enabling a remote workforce.

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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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Big Data Makes Smart Buildings the Norm in the 21st Century

Smart Data Collective

You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world. In fact, McKinsey Global predicts homes, offices, worksites, retail settings, and factories to generate around £3.55 trillion by the end of 2025.

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The Telecommunications Service Provider Journey – From Telco to Techco

Cloudera

Earlier this month, the multi-national carrier MTN announced a rebranding, and along with its logo refresh, announced that it was moving to focus on being a technology provider. The new look, “aligns with our evolution from a telecommunications company to a technology company,” said Nompilo Morafo, Chief Corporate Affairs officer at the company. Across APAC too, telcos are looking at the shift to becoming technology companies, and last week’s TMForum Leadership Summit “ The Tech Driven Telco ” s

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Audio Denoiser: A Speech Enhancement Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.

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A Guide On How To Become A Data Scientist (Step By Step Approach)

KDnuggets

Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

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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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Code From Paradise: Dataiku's New R&D Hub in Reunion Island

Dataiku

The COVID-19 global pandemic forced us to experiment with how and where we work in an extensive way and many struggled with this transition. But the experience was definitely eye-opening on many levels. While some realized that they were not made for school teaching or Zoom happy hours, others explored new ways to balance their lives between work and personal activities.

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What is synthetic data? Generated data to help your AI strategy

CIO Business Intelligence

Synthetic data defined. Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume, or variety. Synthetic data can also be a vital tool for enterprise AI efforts when available data doesn’t meet business needs or could create privacy issues if used to train machine learning models, test software, or the like.

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Serverless Kubernetes Has Become Invaluable to Data Scientists

Smart Data Collective

Data science is a growing profession. While it involves more opportunities than ever, it also has a lot more complications. Standards and expectations are rapidly changing, especially in regards to the types of technology used to create data science projects. Most data scientists are using some form of DevOps interface these days. One of the most popular is Kubernetes.

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Do Data Companies Need Chief Ethics Officers?

Cloudera

Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. The catastrophic breach was bad enough on its own — but Equifax waited three months to go public with the news. As the public furore rose to a crescendo, the credit organization dragged its feet on disclosing exactly what kind of information had been leaked.

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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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Background Removal in the Image using the Mediapipe Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image. For that, we will be using the media pipe library for segmenting the person from the background and cv2 for performing […]. The post Background Removal in the Image using the Mediapipe Library appeared first on Analytics Vidhya.

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The Range of NLP Applications in the Real World: A Different Solution To Each Problem

KDnuggets

Most companies look at it like it’s one big technology, and assume the vendors’ offerings might differ in product quality and price but ultimately be largely the same. Truth is, NLP is not one thing; it’s not one tool, but rather a toolbox.

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Fostering Technology Adoption Through Small Wins

Dataiku

There is a global push for digital transformation and taking an “innovation first” approach, but, up to 80% of these initiatives will fail. Organizations approach data science and analytics platforms with the expectation of large projects that provide large returns on investment. However, the success of small projects can have a much broader impact on company-wide technology adoption.

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CIOs get strategic about IT talent retention

CIO Business Intelligence

IT retention in healthcare has long been full of aches and pains because of the deep skillset required, but David Reis has been lucky. Reis, CIO at the University of Miami Health System and Miller School of Medicine, has been able to grow his head count during both the pandemic and the Great Resignation, a feat he attributes to the fact that people who work in healthcare tend to be mission-driven.

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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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Side Hustle Ideas for Experienced Data Scientists in 2022

Smart Data Collective

Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.

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Women Leaders in Data Discuss Breaking Bias on International Women’s Day

Cloudera

As an official sponsor of International Women’s Da y, Cloudera is excited to celebrate Women’s History Month and International Women’s Day, and to take up the mantle of this year’s theme #BreakTheBias. . Even in industries where women are underrepresented, like tech, women have made a lot of progress. Progress over many decades has slowly transformed the workplace into an environment where women’s strengths are recognized and valued.

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Keyword Extraction Methods from Documents in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].

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3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks

KDnuggets

While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.

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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.

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Supporting Ukraine [UPDATE]

Teradata

Teradata stopped conducting business in Russia earlier this month, and has ceased customer interactions & services with all Russian accounts. Teradata fully supports & is complying with all sanctions.

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The secrets of successful cloud-first strategies

CIO Business Intelligence

Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud. By far the fastest approach is to lift and shift the whole environment, says Matthew Hon, CTO for public sector at technology services company Fujitsu Americas, as rewriting applications for the cloud could t

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AI Advances Lead To Improvements in E-Signatures

Smart Data Collective

With the advancement of digital technology, electronic signatures (e-signatures) have gained massive acceptance in the business world, where artificial intelligence (AI) further leads its improvements. What Are E-Signatures? E-signatures, or the digitized or scanned version of handwritten signatures, improve business processes, allowing fast signing and approval of documents.

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#BreakTheBias: It’s a Journey

Cloudera

Bias is everywhere. . We’re surrounded by it. . And it’s natural. We are alive today as a species because of biases. But it has a tangible impact on our personal and professional lives. Biases shape us and our experience. . As primary caregivers, women have felt the impact of biases and expectations more keenly during the pandemic. Last year women in my network felt like they were being expected to do everything at home and at work.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.