Sat.Jul 16, 2022 - Fri.Jul 22, 2022

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Data Governance, Then and Now

David Menninger's Analyst Perspectives

We’ve recently published our latest Benchmark Research on Data Governance and it’s fair to say, “you’ve come a long way, baby.” Many of you reading this weren’t around when that phrase was introduced in 1968 to promote Virginia Slims cigarettes, but you may have heard the phrase because it went on to become a part of popular culture. We’ve learned a lot about cigarettes since then, and we’ve learned a lot about data governance, too.

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Natural Language Processing for Indic Languages

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, advancements in Deep Learning coupled with data availability have led to massive progress in dealing with Natural Language. Though it can seem quite diverse, NLP is restricted – when it comes to the ‘Natural Languages’ it can […].

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The AIoT Revolution: How AI and IoT Are Transforming Our World

KDnuggets

The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

IoT 160
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How CIOs can unite sustainability and technology

CIO Business Intelligence

As technology continues to take a larger role in corporate sustainability practices, CIOs can play a key role in driving both business value and environmental, social, and governance (ESG) performance. In fact, creating and implementing a comprehensive sustainable technology strategy must now be the core mission of a purpose-driven CIO. Every executive in Accenture’s recent sustainable technology survey agreed that technology is critical for achieving sustainability goals.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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AI-Driven SEO is Becoming Essential for Modern Marketing

Smart Data Collective

Artificial intelligence is one of the most disruptive forms of technology shaping the marketing profession since the dawn of the Internet. Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy.

Marketing 136
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Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job

Analytics Vidhya

Have you ever wondered if it is possible to get access to your dream data science job like a piece of cake? Life would be far easier if you didn’t have to scroll through job sites and referral sites to find and apply for the data science jobs you wanted. The ideal scenario each aspiring […]. The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya.

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IT spending projected to grow despite economic headwinds

CIO Business Intelligence

Plummeting sales of printers and PCs and a growing inflation crisis aside, IT spending will remain strong through 2022, rising 3% year-over-year to a total of $4.5 trillion, according to projections released by Gartner Research. The 3% increase in total IT spending represents slower growth than in 2021, as the economy as a whole and the IT sector in particular began to recover from the effects of the pandemic, and growth will largely be driven by cloud services and the data center, Gartner said.

IT 141
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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

Data analytics is incredibly valuable for helping people. learn. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education. Big data isn’t just helping with education in the field of academia.

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Dapps 101 – Build and Deploy Your 1st Dapp!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dapps are decentralized – applications that allow one to communicate to the blockchain and perform specific actions. These have become an integral part of Web 3.0 due to their security, transparency, and ease of use. The fact that makes Dapps more interesting […].

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An Introduction to Hill Climbing Algorithm in AI

KDnuggets

Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.

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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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Feeding America turns to data to feed the hungry

CIO Business Intelligence

More than 38 million people in the United States, including 12 million children, are facing hunger despite the country producing more than enough food to feed everyone. One organization, Feeding America, the country’s largest domestic hunger relief organization, is turning to information technology to help, having hired three years ago its first IT chief to transform how its network of 200 food banks serve the food insecure.

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AI Technology Offers Time Management Benefits in the Workplace

Smart Data Collective

AI technology has become incredibly helpful for companies trying to boost productivity. There are a lot of invaluable applications that use AI to bolster efficiency, lower costs and help companies improve the quality of their products and services. According to research from Oberlo, 91% of businesses have invested in AI technology to achieve these benefits.

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Market Basket Analysis for Coffee Shop with Apriori

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A supermarket store named Big Mart opened a coffee shop inside the premises, and after the launch, it started seeing great transactions, and it was decided to have similar coffee shops at all the stores across the region for Big Mart. Big […]. The post Market Basket Analysis for Coffee Shop with Apriori appeared first on Analytics Vidhya.

Marketing 382
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5 Project Ideas to Stay Up-To-Date as a Data Scientist

KDnuggets

The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.

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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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IT leaders uplift women to fill tech talent gaps

CIO Business Intelligence

With an undergraduate degree in political science and time spent as a Peace Corps and AmeriCorps volunteer, Lain McGrath hardly envisioned a career in software engineering. Yet after onboarding at HR SaaS provider Gusto in a customer experience (CX) role, exposure to coding sparked McGrath’s interest in shifting professional tracks. The problem: She had no formal training and experience in computer science.

IT 136
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Using Data-Driven Lean Thinking to Optimize Business Processes

Smart Data Collective

Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Only 32% of executives have officially laid out a data strategy to drive their organization. Furthermore, only 13% of companies are actually delivering on their data strategy.

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Effective Virtual assistants implementation strategy for your business

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Conversational AI tech has significantly evolved in the last decade, allowing many businesses to use virtual assistants, aka bots in the chat & voice mediums, to resolve customer queries. Several bot provider companies take many approaches to deploy & optimize virtual assistants […].

Strategy 376
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Benefits Of Becoming A Data-First Enterprise

KDnuggets

Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.

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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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Authentic leadership: Building an organization that thrives

CIO Business Intelligence

Leadership styles have traditionally centered their focus on profits, share prices, and productivity, but a new approach increasingly taken up by today’s leaders, known as “authentic leadership,” takes a different spin on the concept. With the authentic leadership model, the focus is on people, values, and ethics first, with productivity and profits subsequently promoted by fostering an inclusive and welcoming environment where everyone feels heard.

Modeling 129
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Proven VPN Protocols to Safeguard Your Data

Smart Data Collective

Are you concerned about your data privacy? You are going to want to invest in a VPN. Few other safeguards will be equally effective. Keep reading to learn why this is so important. A VPN is Going to Be Necessary for Data Privacy – Even if Data Protection Laws Are Passed. Data privacy is becoming a greater concern than ever. One poll from 2021 showed that 83% of Americans supported legislation to protect their data privacy.

IT 114
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The DataHour: Feature Engineering on Images using CNN

Analytics Vidhya

Introduction Eduardo Xamena is hosting a DataHour with us. He works as a Scientific Researcher at National Scientific and Technical Council, developing methods and architectures for information extraction and retrieval from enormous amounts of text. The history of the Argentinian Revolution and the number of complaints received by the Public Ministry of Salta are two […].

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#Clouderalife Volunteer Spotlight: Burt Wagner, Senior Solutions Engineer

Cloudera

This month, Cloudera Cares is excited to spotlight Burt Wagner, senior solutions engineer from Alexandria, Virginia. Burt — who joined Cloudera earlier this year — volunteers regularly with the Boy Scouts of America. He started Scouting as an eight year old; it has always been an integral part of his life and something he now enjoys sharing with his son.

IT 112
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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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IT legend Charlie Feld on the CIO as chief integration officer

CIO Business Intelligence

Few have had a greater impact on the CIO profession than Charlie Feld has. An industry legend, Feld shaped the CIO role decades ago and has gone on to change the narrative about technology and to transform entire industries. In fact, Feld has such an extensive leadership playbook that we recorded a special two-part episode of the Tech Whisperers podcast to capture his wisdom and insights.

IT 114
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KDnuggets News, July 20: Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python

KDnuggets

Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python; Free Python Automation Course; How Does Logistic Regression Work?; 12 Most Challenging Data Science Interview Questions.

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Find External Data for Machine Learning Pipelines

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning pipelines are always about learning and best accuracy achievement. And every Data Scientist wants to progress as fast as possible, so time-saving tips & tricks are a big deal as well. That’s why low-code tools are adopted among data scientists.

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Cartoon: Innovation Acceptance Challenges!

Timo Elliott

It often seems like some folks will do anything to avoid adopting innovation… which caption works better, do you think?

IT 121
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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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Don’t Just Climb the Ladder. Explore the Jungle Gym

CIO Business Intelligence

By Chet Kapoor, Chairman & CEO of Datastax. I have the great privilege of getting to know leaders from the world’s most recognized brands and fastest-growing startups. We share the stories, obstacles, and defining moments that have helped shape our careers. Each individual’s journey is unique, but there’s a common thread connecting all of these leaders: no one’s path to success has been a straight line.

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Hone Your Data Skills With Free Access to DataCamp

KDnuggets

DataCamp has launched their Free Week, running now through to 11.59 pm ET on 24 July. For this whole week, anyone, anywhere, and anytime can have unlimited access to their site. Try it out now!

IT 103
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Image Classification Model trained using Google Colab

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Image classification is the process of classifying and recognizing groups of pixels inside an image in line with pre-established principles. Using one or more spectral or text qualities is feasible while creating the classification regulations. Two popular types of categorization techniques are […].

Modeling 368
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High-standard ML validation with Deepchecks

Domino Data Lab

We've blogged before about the importance of model validation, a process that ensures that the model is performing the way it was intended and that it solves the problem it was designed to solve. Validations and tests are key elements to building machine learning pipelines you can trust. We've also talked about incorporating tests in your pipeline, which many data scientists find problematic.

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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.