Wed.Apr 27, 2022

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Data Is Now a Team Sport

Cloudera

This week I participated in an informative event that Cloudera hosted with TechCrunch: Data and the Culture Transformation. The event was moderated by tech industry analyst Maribel Lopez, and we were joined by Shirley Collie, chief health analytics actuary at Discovery Health in South Africa. The conversations focused on how company data cultures are rapidly evolving and delivering new levels of value to businesses with the emergence of data ecosystems.

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The Ultimate Guide to Master Jinja Template

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Implement Jinja in Flask, FastAPI, Django, and many more to come Web 2.0 has introduced the concept of delivering user-centric interactive content. In the very early stage of the internet, the content delivered had static files. Fast forward to the current situation: Everything you […].

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15 Python Coding Interview Questions You Must Know For Data Science

KDnuggets

Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.

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An End-to-End Introduction Guide on Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Power BI As part of our discussion, we will discuss the features of Power BI, its benefits, and a detailed description of how to use it for presenting data using an example and creating reports. Business today generates enormous amounts of […]. The post An End-to-End Introduction Guide on Power BI appeared first on Analytics Vidhya.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Data Scientist, Data Engineer & Other Data Careers, Explained

KDnuggets

In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.

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Convert Jupyter Notebook Into Toonify App

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Jupyter notebook is an important data science tool. It is used by many data science professionals to do exploratory data analysis and also to prototype machine learning models. It helps beginners pick up data science concepts easily. Sometimes we might want […].

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Introduction to Probability Distributions for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Probability Distributions This article will focus on critical Probability Distributions from the data science point of view. We will divide these Probability distributions based on whether the data is discrete or continuous. No matter what field you are in, Statistics and […].

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Employee engagement strategies that work

CIO Business Intelligence

The past two years have cast long-standing IT talent challenges into high relief. From the challenges of leading remote teams, to working through burnout, to weathering The Great Resignation , the central question on IT leaders’ minds is how to retain top talent. In an interactive presentation at CIO’s recent Future of Work Summit, Dr. Beverly Kaye tackled that question head-on, offering key lessons from her years of research and writing on the topic of talent retention.

Strategy 105
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Interactive Data Visualization Using Bqplot

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data visualization is crucial in Data Analytics. With exploratory data analysis (EDA), we gain insights into the hidden trends and patterns in a dataset that are useful for decision-making. Several popular open-source Python libraries like Matplotlib, seaborn, Altair, Bokeh, Plotly, etc. are […].

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KDnuggets News, April 27: A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022

KDnuggets

A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022; Building a Scalable ETL with SQL + Python; 7 Steps to Mastering SQL for Data Science; Top Data Science Projects to Build Your Skills.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Lay the Groundwork for AI Success: Know Your AI Infrastructure Options

CIO Business Intelligence

The use of artificial intelligence (AI) continues to transform enterprises by creating new products, boosting revenues, cutting costs and increasing efficiency. But getting to those successful implementations has been tricky for some organizations, given the complexity of the technology and potential for a high failure rate for those who jump in without a plan.

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Getting Deep Learning working in the wild: A Data-Centric Course

KDnuggets

Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.

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How to Scale an AI Platform: It’s Not Just About “Speeds and Feeds”

Dataiku

There are many ways to achieve scale in AI and machine learning (ML) — scale up, scale out, elastic scale. But taking a more granular approach to scaling your AI/ML projects can pay dividends. The best way to understand scale for an AI and ML platform is to look at each step in the lifecycle of a project. Each stage from design to production has different types of workloads and there are different ways of scaling to meet user needs.

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How Fast Can BERT Go With Sparsity?

KDnuggets

How much impact does sparsity have on model performance?

Modeling 104
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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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Why It Takes a Coordinated Army to Remediate Vulnerabilities Fast

CIO Business Intelligence

From advanced phishing techniques to ransomware-as-a-service and the Log4J vulnerability, IT security threats are evolving and growing rapidly. For example, attacks on corporate networks grew by 50% from 2020 to 2021, according to Check Point Research 1. It now takes an army of experts using a complex, dizzying array of tools to defend the organization’s critical assets, which includes employees, data and systems: HCL.

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Please vote before May 11! 2022 DBTA Reader’s Choice Awards

erwin

Voting is going on now, and ends on May 11! If you love our products, please vote. We need your help! Year after year, customers vote Quest® products as their #1 choice in database solutions. It’s voting time again. Please help us keep our #1 position in 2022. This is a reader’s choice award, and that means winners are determined by the number of votes received — by loyal customers like you.

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Steps to Improve Your Security Posture during Technology Modernization

CIO Business Intelligence

Cyber threats are among the top ten highest-rated critical risks of organizations today and for 2030, according to? Protiviti’s Executive Perspectives on Top Risks for 2021 and 2030. The constantly changing risk environment requires companies to be agile in how they adapt and address cyber risks. CIOs and CTOs often transform business solutions to enable the business using tools such as artificial intelligence (AI) and?

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The Data Culture Gap: Q1 2022 State of Data Culture Report

Alation

What’s a common trait of businesses that hit revenue targets? They all prioritize a data culture. In fact, 90% of organizations with top-tier data cultures either met or exceeded their revenue targets over the last 12 months. This was a key finding in the quarterly Alation State of Data Culture Report , which provides an assessment of the progress enterprises have made in creating a data culture.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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.

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Saudi Arabia transforms healthcare with NPHIES data exchange

CIO Business Intelligence

The NPHIES health information exchange platform, designed to unify patient care records for healthcare providers and optimise insurance services, is central to the digital transformation of healthcare in Saudi Arabia. As onboarding director for the Cooperative Health Insurance Council (CCHI), which recently launched NPHIES in collaboration with the National Health Information Center and the Ministry of Health, Nesreen Elofi plays a key role in the evolution of the platform.

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A Window Into the Future of Data in Motion and What It Means for Businesses

Cloudera

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness

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South African financial services embrace hybrid cloud

CIO Business Intelligence

In recent years, cloud computing has moved up the agenda for IT leaders and C-level executives in South Africa because it serves as a major catalyst for digital transformation. Along the way, hybrid cloud technology has become the preferred computing infrastructure for many companies — particularly those in the financial-services sector. Businesses across the continent are quickly starting to realise the strategic business benefits offered by cloud computing and, as a result, are moving more and

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Augmented data management: Data fabric versus data mesh

IBM Big Data Hub

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary. But what exactly are a data fabric and data mesh, and how can you use these data management solutions to take advantage of your enterprise data for better decision-making?

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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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How an Infrastructure Switch Sped Up AI Model Results and Business Value for BEN Group

CIO Business Intelligence

Even with the best planning, companies should be ready to adjust projects when faced with unexpected challenges or as parameters change due to business needs. This is no difference in the development of AI models, where initial results may lead teams down a new path that requires a rethinking of their AI infrastructure. “AI is never one and done,” said Tony Paikeday, senior director of AI systems at NVIDIA.

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Effectively Manage All Endpoints, No Matter Where They Are Located

CIO Business Intelligence

Hybrid work is here to stay. The 2021 PwC Remote Work Survey found that 83% of employers believe remote work has been successful, and 55% of managers said employees only need to work in the office three days a week or less to retain a strong culture. However, employees working outside the corporate firewall and other network protections pose some big security challenges, especially for large enterprises.

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Qualtrics seeks to broaden picture of employee engagement

CIO Business Intelligence

What if 28% of your staff were planning to quit within the next year, as Qualtrics found in a recent survey? That kind of turnover may be typical in fast food joints, where working conditions are such that staff come and go as quickly as the orders, but if you need employees to gain several years of experience before they can make a significant contribution to the business, it’s concerning.

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Exit interview: Williams F1 CIO Graeme Hackland to leave racing team in June

CIO Business Intelligence

Graeme Hackland has told CIO.com that he’s leaving Williams F1 this June, after nine years at the Grove, Oxfordshire racing team and almost 25 in motorsport. Hackland joined Williams Racing in January 2014 as the Formula One team’s CIO, having formerly held IT/IS director, head of IS, IT manager, and network roles at Lotus, Renault, and Benetton. He reported to CEO Mike O’Driscoll, who left Williams F1 in December 2020, and had cordial relations with team founder and principal Sir Frank Williams

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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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7 leadership traits major enterprises look for in a CIO

CIO Business Intelligence

While many, perhaps even most, CIOs are content to head operations at a small- or midsize enterprise, others have loftier ambitions. These individuals wish to climb to the very top of the IT career ladder. CIOs at major enterprises — particularly those with market capitalizations measured in the tens or hundreds of billions of dollars — tend to be a different breed than their lower-level counterparts.

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How Kaiser Permanente IT shifted from order taker to influencer

CIO Business Intelligence

Kaiser Permanente sits at the epicenter of the workforce and healthcare delivery changes wrought by the pandemic. It is one of the country’s largest not-for-profit health plans, serving nearly 12.5 million members and employing more than 300,000 people. When Doug Adams became CEO in 2019, prior to the pandemic, he set a transformation strategy to use digital technologies to improve the member experience and quality of care.

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How is Network as a Service (NaaS) Different from a Lease?

CIO Business Intelligence

By: Cathy Won, Consultant with eTeam, HPE Aruba Contributor. Many people think of Network as a Service (NaaS) without the managed services component as simply a lease of the hardware and software. However, there are some key differences. Each implementation and experience working with various vendors will differ, but some highlights include the following: 1.

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How Enterprises Boosted AI Through Infrastructure Upgrades

CIO Business Intelligence

Many enterprises around the world are discovering new insights, revenue and efficiencies through the use of artificial intelligence (AI). At the same time, companies are discovering that they can accelerate their projects by adjusting their infrastructure approach. These changes have helped to create new opportunities and growth options, as well as preventing a trip to the pile of AI failures.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.