Sat.Aug 13, 2022 - Fri.Aug 19, 2022

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Why every IT leader should avoid ‘best practices’

CIO Business Intelligence

The nonsense was tucked away in a PowerPoint slide, as so much nonsense is. “We’ll help you institute best practices, followed by a program of continuous improvement,” the offending bullet said. Now, I’m willing to shrug at a bit of harmless puffery from time to time. And maybe this puffery was harmless. But I don’t think so. As my pappy used to say, ‘If someone sells this and someone else buys it, they have something in common: They’re both schmucks.

IT 133
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Embed Analytics for Greater Reach and More Responsiveness

David Menninger's Analyst Perspectives

When I looked at the state of analytics recently , it was clear that analytics are not as widely deployed within organizations as they should be. Only 23% of participants in our Analytics and Data Benchmark Researc h reported that more than one-half of their organization’s workforce are using analytics. There are many elements to becoming a data-driven organization, as my colleague Matt Aslett points out , but analytics are a necessary component.

Analytics 157
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Hybrid Vs. Multi-Cloud: 5 Key Comparisons in Kafka Architectures

Smart Data Collective

Cloud technology is becoming more important to modern businesses than ever. Ninety-four percent of enterprises invest in cloud infrastructures, due to the benefits it offers. An estimated 87% of companies using the cloud rely on hybrid cloud environments. However, some companies use other cloud solutions, which need to be discussed as well. These days, most companies’ cloud ecosystem includes infrastructure, compliance, security, and other aspects.

Data Lake 105
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Building a simple Flask App using Docker vs Code

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours. Simply put, if your job as […]. The post Building a simple Flask App using Docker vs Code appeared first on Analytics Vidhya.

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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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What Does ETL Have to Do with Machine Learning?

KDnuggets

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

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Securing the ever-evolving hybrid work environment

CIO Business Intelligence

Even as many business leaders debate the boundaries of remote work styles and schedules, there is little doubt that hybrid work will persist for most enterprises. Yet, how hybrid work takes shape for any given business will likely evolve as business needs and employee expectations change over time. For IT and network security teams, the challenge is to secure their environments, regardless of where people are working.

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The DataHour: Your Upcoming Learning Timeline

Analytics Vidhya

Dear Readers, Data Science is a vast subject, and the learning you can get is immense. And we at Analytics Vidhya always try to bring new learning topics and build up your skills. This time, we have not one, not two, but six new DataHour for you to attend. So, keep your notepad handy and […]. The post The DataHour: Your Upcoming Learning Timeline appeared first on Analytics Vidhya.

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How Do Data Scientists and Data Engineers Work Together?

KDnuggets

If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.

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The Blockchain battlefront: Technology, business, and regulation

CIO Business Intelligence

Comedian John Oliver quipped that cryptocurrency is “everything you don’t understand about money combined with everything you don’t understand about technology.” He missed another area of notorious confusion: the law. The great regulatory bureaucracy has awakened to the significance of blockchain-enabled technology, led by the SEC. . The government is certain that cryptocurrency must be regulated, but it is faced with a knotty question: What kind of asset is cryptocurrency?

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5 Ways Companies Use Machine Learning to Improve Workplace Productivity

Smart Data Collective

Technology has become so advanced that, today, there’s an app for almost anything, from children’s education, to home improvement, to health monitoring, to workplace productivity. Gathering critical data to determine the best action to apply to specific situations has become integral in people’s daily lives. Because of technology, critical decisions are now mostly based on scientific data.

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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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AWS Glue for Handling Metadata

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process. The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. It provides organizations with […].

Metadata 369
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Why is Data Management so Important to Data Science?

KDnuggets

High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.

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Jacobs revamps its IT operating model to accelerate business

CIO Business Intelligence

In March 2022, Steve Demetriou, chair and CEO of Jacobs, announced a new multiyear strategy that would focus on three accelerators for the $15B professional services business: climate response, consulting and advisory, and data solutions, each supported by significant acquisitions. Madhuri Andrews, who became chief digital and information officer of Jacobs in 2019, knew the strategy would require a new IT operating model, both to enable IT to act as a truly global organization and to leverage th

IT 111
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Visualizing 24 School Divisions’ Submissions with a Dashboard in Microsoft Excel

Depict Data Studio

This guest post comes from Amadu Sidi Bah, who’s graduated from our Simple Spreadsheets, Great Graphs, Report Redesign, and Dashboard Design courses. Great work, Amadu! — Ann K. Emery. All too often, written submissions from stakeholders come in dense, long reports. That’s what happened in our project when stakeholders were consulted on the changes that would be required to improve student outcomes.

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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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Image Contrast Enhancement Using CLAHE

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Contrast enhancement algorithms have evolved over the last few decades to meet the needs of its objectives. There are two main goals in enhancing an image’s contrast: (i) Improving its appearance for visual interpretation and (ii) facilitating/increasing the performance of subsequent tasks […].

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Machine Learning Over Encrypted Data

KDnuggets

This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.

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3 Surprising Insights from Data Leaders

CIO Business Intelligence

By Thomas Been, DataStax. Winning enterprises take data, process it, and use it to deliver in-the-moment experiences to customers. Starbucks, Netflix, The Home Depot, and countless other organizations large and small have built great success based on this understanding. But what does that success look like, and what are the challenges faced by organizations that use real-time data?

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AI in Supply Chain — A Trillion Dollar Opportunity

DataRobot Blog

Supply chain and logistics industries worldwide lose over $1 trillion a year due to out-of-stock or overstocked items 1. Shifting demands and shipping difficulties make the situation worse. Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. The retail marketplace has become increasingly complex and competitive.

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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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What is Apache Impala- Features and Architecture

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Impala is an open-source and native analytics database for Hadoop. Vendors such as Cloudera, Oracle, MapReduce, and Amazon have shipped Impala. If you want to learn all things Impala, you’ve come to the right place. source: -[link] It rapidly processes large […].

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How to Use Data Visualization to Add Impact to Your Work Reports and Presentations

KDnuggets

For anyone whose work involves presenting data, understanding the art and science of data visualization — and its emphasis on storytelling — can make or break your ability to communicate key insights.

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Enterprise Storage Trends That CIOs Need to Grasp for the Remainder of 2022

CIO Business Intelligence

Being on the forefront of enterprise storage in the Fortune 500 market, Infinidat has broad visibility across the market trends that are driving changes CIOs cannot ignore. To help make it quick and easy for IT leaders to get a reliable snapshot of the enterprise storage trends, we put together this “trends update” for the second half of 2022. In less than five minutes, you can take hold of useful and relevant information that will help you make more insights-driven decisions over the next six m

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Data Speaks for Itself: What Could Possibly Go Wrong?

TDAN

I had a great experience attending the MIT Chief Data Officer and Information Quality Symposium in Cambridge this July. It was truly enlightening to hear from so many experienced data leaders. This year, there were 2,855 registered attendees from 63 countries, including 1,218 Chief Data Officers. I always learn so much at these symposia. In […].

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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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Template for Data Cleaning using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data cleaning is one area in the Data Science life cycle that not even data analysts have to do. Still, data scientists and their daily task are to clean the data so that machine learning algorithms will have the data good enough to […]. The post Template for Data Cleaning using Python appeared first on Analytics Vidhya.

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The Data Quality Hierarchy of Needs

KDnuggets

Just as Maslow identified a hierarchy of needs for people, data teams have a hierarchy of needs, beginning with data freshness; including volumes, schemas, and values; and culminating with lineage.

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Managing the whole lifecycle for human and machine authentication

CIO Business Intelligence

In my last column for CIO.com , I outlined some of the cybersecurity issues around user authentication for verification of consumer and business accounts. . Among other things, I advocated that in this remote/hybrid work era, CISOs must protect their company’s access to data by having a cyber-attack plan ready to implement, understanding the new tools and tactics that cyber thieves use, and being aware of newer AI-based technologies that can lessen cybersecurity risks.?

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Data Governance Keys to Success

TDAN

Unfortunately, a lot of data governance programs fail and there are many reasons why. The silver lining is that there are great lessons from these failures that we can learn from and make sure that we will avoid them in our data governance program. Here are the keys to data governance success: Treat Data Governance as […].

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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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Basic Introduction to Data Science Pipeline

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Data science pipeline is the procedure and equipment used to compile raw data from many sources, evaluate it, and display the findings in a clear and concise manner. Businesses use the method to get answers to certain business queries and produce […]. The post Basic Introduction to Data Science Pipeline appeared first on Analytics Vidhya.

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Is There a Way to Bridge the MLOps Tools Gap?

KDnuggets

Converting Jupyter notebooks to a well-designed software system is a mandatory step in every ML project. But there is a notable lack of tooling to assist developers with such translation, beyond the basic nbconvert utility.

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Smartphones Central to Online and In-Store Consumer Shopping Habits

CIO Business Intelligence

New research from Cybersource and PYMNTS.com finds that more than one-third of shoppers are turning to smartphones when shopping in-store. In addition, 59% of merchants support mobile features to help them make a purchase. The 2022 Global Digital Shopping Index provides insights into how mobile-first shoppers are reshaping what success looks like for merchants in a new world of retail.

Reporting 105
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Reflections on Data Literacy for Financial Services Leaders

Teradata

In conversations with c-level execs at banks & financial institutions, one theme always crops up. How do we change our operating model to be more agile & customer focused in a digital first world?

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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.