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 162
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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 114
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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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Digital twins are primed to revolutionize the infrastructure industry

CIO Business Intelligence

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems. Keith Bentley of software developer Bentley Systems describes digital twins as the biggest opportunity for IT value contribution to the physical infrastructu

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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 rise of the data lakehouse: A new era of data value

CIO Business Intelligence

With 65 million vaccine doses to administer at the height of the COVID-19 pandemic, Luigi Guadagno, CIO of Walgreens, needed to know where to send them. To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We leveraged the lakehouse to understand the moment,” the CIO says. For Guadagno, the need to match vaccine availability with patient demand came at the right moment, technologically speaking.

Data Lake 140
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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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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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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 362
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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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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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Can ML Fix Cybersecurity Challenges in Healthcare?

Smart Data Collective

The Department of Health and Human Services HIPAA Breach Reporting Tool shows that there were over 700 data breaches in healthcare organizations last year. Healthcare organizations need to utilize the latest technology to stop these attacks. Machine learning technology is especially important. Machine Learning Helps Healthcare Organizations Fight Cyberattacks.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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

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Key Reasons Businesses Are Embracing AI

Smart Data Collective

Businesses are evolving and searching for newer ways to accomplish their goals, hence the need for artificial intelligence (AI). AI involves building smart machines to carry out tasks that typically need human intelligence, and AI simulates human intelligence using computer systems. The two major AI types used in businesses today are reactive machines and limited memory.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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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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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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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Predicting the winners: How IBM uses data and AI at the US Open to drive insights and fan engagement

IBM Big Data Hub

As the US Open’s official technology partner, IBM Consulting works with the United States Tennis Association (USTA) to turn tennis data into engaging fan insights through AI and automation. Artificial intelligence (AI) increasingly influences people’s understanding of data, whether we are a CTO making decisions at an enterprise level or a tennis fan deciding which match to watch.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Database Normalization- A Step-by-Step Guide with Examples

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As an SQL Developer, you regularly work with enormous amounts of data stored in different tables that are present inside databases. This often becomes difficult to extract the information if it is not organized properly. We can solve this problem using Normalization by […].

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The Complete Collection of Data Science Projects – Part 2

KDnuggets

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

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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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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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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.