Sat.Jun 11, 2022 - Fri.Jun 17, 2022

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8 Ways Successful Online Business Leverage Big Data

Smart Data Collective

Big data technology is disrupting almost every industry in the modern economy. Global businesses are projected to spend over $103 billion on big data by 2027. While many industries benefit from the growing use of big data, online businesses are among those most affected. There are many practical benefits of using big data to grow your online business.

Big Data 106
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Translate Spanish Audio transcriptions to Quechua

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

I recently attended the Splunk.conf22 conference. While the event was live in-person in Las Vegas, I attended virtually from my home office. Consequently I missed the incredible in-person experience of the brilliant speakers on the main stage, the technodazzle of 100’s of exhibitors’ offerings in the exhibit arena, and the smooth hip hop sounds from the special guest entertainer — guess who ?

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6 Tips For Software Vendor Selection

BA Learnings

Selecting vendors for software implementation projects can seem like a complicated process but it doesn’t have to be with the right tips in mind. This article discusses tips for vendor selection you should know about: Ensure your requirements are cleared ad devoid of ambiguities: Documented requirements will guide the vendors in determining their suitability to respond and should as much as possible, reflect what is to be achieved during the implementation.

Software 130
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Primary Supervised Learning Algorithms Used in Machine Learning

KDnuggets

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

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Insurance Charges Prediction Using MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MLIB In this MLIB article, we will be working to predict the insurance charges that will be imposed on a customer who is willing to take the health insurance, and for predicting the same PySpark’s MLIB library is the driver to […]. The post Insurance Charges Prediction Using MLIB appeared first on Analytics Vidhya.

Insurance 361

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How Understanding Data Can Improve Your Marketing Efforts

Smart Data Collective

Global companies spent over $2.83 billion on marketing analytics in 2020. This figure certainly increased in light of the pandemic, as digitization accelerated. Marketing has always been about numbers. Now, those numbers are highly refined, narrowed by algorithms and databases, and processed by people with advanced degrees. Indeed, data and marketing are a match made in heaven, taking much of the guesswork out of a profession that once was as much about luck as it was about creativity.

Marketing 132
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Generate Synthetic Time-series Data with Open-source Tools

KDnuggets

An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

Modeling 150
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How ML with Titanic Dataset Could be Misleading?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Titanic ship disaster is one of the most infamous shipwrecks. The luxury cruiser, touted to be one of the safest when launched, sank thousands of passengers due to an accident with an iceberg. Out of 2224 passengers, 1502 passengers died due to […]. The post How ML with Titanic Dataset Could be Misleading?

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3 forces shaping the evolution of ERP

CIO Business Intelligence

Moving into the digital 2020s, enterprises are contemplating the adoption of a new generation of collaborative, composable, and cloud-based enterprise resource planning (ERP) technologies, motivated by a stubborn pandemic, insecure supply chains, transient workforces, and other factors. An overwhelming 94% of organizations worldwide are embracing a next-generation ERP strategy that involves migrating to cloud platforms and adopting high-end analytics such as artificial intelligence to overcome t

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The Role of Data Products in Maximizing ROI from AI Initiatives

Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.

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How Deep Learning Technology Improves the Efficiency of Parking Management Systems

Smart Data Collective

Parking Systems and The Current Crisis . The current world is undergoing a rapid transformation as a direct result of the many scientific breakthroughs and technological advancements enabling the production of an abundance of intelligent gadgets, appliances, and systems. Such intelligent devices, gadgets, and systems encompass automation, smart sensor networks, communication systems, and various other gadgets.

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Deep Learning Key Terms, Explained

KDnuggets

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

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Create Gradio Demo for Speaker Verification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will build an app for Speaker Verification using UniSpeech-SAT and X-Vectors. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. Introduction on Speaker Verification Have you ever […].

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The 10 biggest issues IT faces today

CIO Business Intelligence

CIOs are used to rapid change. New technologies hit the market, existing ones evolve, business needs change on a dime, staff comes and goes. All that together, though, is nothing compared to the turbulence that CIOs are seeing today. IT leaders are now contending with continued pandemic-related disruptions, geopolitical instability, and economic volatility — on top of those usual factors.

IT 144
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. This figure will rise as globalization, supply chain challenges and other factors increase competitiveness. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 is at the doorstep.

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Top 15 Books to Master Data Strategy

KDnuggets

In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

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A Complete Guide on Building an ETL Pipeline for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on ETL Pipeline ETL pipelines are a set of processes used to transfer data from one or more sources to a database, like a data warehouse. Extraction, transformation, and loading are three interdependent procedures used to pull data from one database and place […].

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Psst… Are You Doing Digital Transformation All Wrong?

CIO Business Intelligence

Only about 14% of transformation efforts succeed at all and only 3% of those successes are sustained, reports a major analyst firm. A major reason for this overwhelming lack of success is the failure to establish an operational model aligned with a world in which strategic pivots need to happen quickly. Value Stream Management (VSM) has become increasingly prevalent as the best operational model for those few organizations that have successfully transformed.

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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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Lightning fast CPU-based image captioning pipelines with Deep Learning and Ray

Domino Data Lab

Translation between Skeletal formulae and InChI labels is a challenging image captioning problem, especially when it involves large amounts of noisy data. In this blog post we share our experience from the BMS molecular translation challenge and show that CPU-based distributed learning can significantly shorten model training times.

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Prepare Your Data for Effective Tableau & Power BI Dashboards

KDnuggets

Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

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Scraping Data Using Octoparse for Product Assessment

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Octoparse Hello, Data enthusiasts. I am thrilled to see you here to discuss another compelling use case which supports Data Analytics and Data-Science. As you all know that invariably you should not depend on the landing area, most of the time, the […]. The post Scraping Data Using Octoparse for Product Assessment appeared first on Analytics Vidhya.

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How a cloud-first enterprise application strategy boosts speed and scale for your business

CIO Business Intelligence

Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. That’s the consensus from members of CIO.com’s community of IT experts who weighed in on how a cloud-first approach to enterprise applications allow an organization to scale its business. With a cloud-first approach, businesses can sidestep the high costs associated with on-premises deployment, installation, maintenance, and IT infrastructu

Strategy 138
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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How to Simplify Your Approach to Data Governance

Data Virtualization

Reading Time: 6 minutes Data Governance as a concept and practice has been around for as long as data management has been around. It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be. The post How to Simplify Your Approach to Data Governance appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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14 Essential Git Commands for Data Scientists

KDnuggets

Learn essential Git commands for versioning and collaborating on data science projects.

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Web 3.0: All You Need to Know!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Every day billions of people use the World Wide Web to read, write and share information. The web has changed over the past few years, and its current applications are nearly unrecognizable from its early days. This evolution of the web is […]. The post Web 3.0: All You Need to Know!

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What Stands Between IT and Business Success? Data Complexity

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax. “Water, water everywhere, and all the boards did shrink; Water, water everywhere, nor any drop to drink.”. – “The Rime of the Ancient Mariner” by Samuel Taylor Coleridge. Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams.

IT 135
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

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. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

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Trends Data Leaders Should Anticipate

TDAN

Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. The catastrophic disruption of the global pandemic did not slow down the need for systems, processes, and people who will help modern organizations move faster. Data, as always, is top of mind. With so many trends and tools available, it can be hard to see […].

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Top Data Science Podcasts for 2022

KDnuggets

Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

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The DataHour: Introduction to Tensorflow Javascript

Analytics Vidhya

Dear Readers, We bring you another episode of our DataHour series. Deep Learning is a subfield of Machine Learning, inspired by the biological neurons of a brain, and translated to artificial neural networks with representation learning. In this DataHour session, Umang will take you through a fun ride of live DEMO! We are sure that […]. The post The DataHour: Introduction to Tensorflow Javascript appeared first on Analytics Vidhya.

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Wells Fargo prepares to take a quantum leap

CIO Business Intelligence

Wells Fargo was introduced to quantum computing’s potential in 2019. At that time, the financial services company was exploring post-quantum cryptography and already had research relationships with academic institutions working on AI research. When IBM started work on its quantum computing research network, Wells Fargo decided to explore the possibilities.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.