Sat.Oct 01, 2022 - Fri.Oct 07, 2022

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What IT will look like in 2025

CIO Business Intelligence

Today’s CIOs need to be more than strategic, they should be visionaries, too. With that in mind, many are already looking ahead and planning for what they, their IT departments, and their organizations as a whole will need in 2025. Todd Cassidy, managing vice president and CIO of associate experience at Capital One, is in that camp. “We are constantly looking ahead to make sure we are ready for what’s next,” says Cassidy, who is also the company’s chief of staff for technology.

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Key Components and Challenges of Data Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Today, Data Lake is most commonly used to describe an ecosystem of IT tools and processes (infrastructure as a service, software as a service, etc.) that work together to make processing and storing large volumes of data easy. An ecosystem consists of […]. The post Key Components and Challenges of Data Lakes appeared first on Analytics Vidhya.

Data Lake 396
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DataOps Observability: Taming the Chaos (part 1)

DataKitchen

Part 1: Defining the Problems. This is the first post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

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Process Mining Improves Business Processes

David Menninger's Analyst Perspectives

Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes. Log data provides an abundance of information about what operations are occurring, the sequences involved in the processes, how long the processes are taking and whether or not the processes are completed successfully.

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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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The ABCs of NLP, From A to Z

KDnuggets

There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.

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Three R Libraries for Automated EDA

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].

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How Formula 1 Teams Leverage Big Data for Success

Smart Data Collective

We have previously talked about ways that big data is changing the world of sports. Formula 1 teams are among those most affected. Ever since the Oakland A’s switched their recruitment policy from a players’ running speed and strength to a more sophisticated and nuanced look at the on-base slugging percentage, the world of sports has become more and more accustomed to utilizing sports analytics in their team-building.

Big Data 126
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Key-Value Databases, Explained

KDnuggets

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

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Using MongoDB with Pandas, NumPy, and PyArrow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you are a data scientist or a Python developer who sometimes wears the data scientist hat, you were likely required to work with some of these tools & technologies: Pandas, NumPy, PyArrow, and MongoDB. If you are new to these terms, […]. The post Using MongoDB with Pandas, NumPy, and PyArrow appeared first on Analytics Vidhya.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

Over the past 184 years, The Procter & Gamble Co. (P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. Its brands are household names, including Charmin, Crest, Dawn, Febreze, Gillette, Olay, Pampers, and Tide. In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform.

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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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Essential Productivity Hacks in Cloud-Centric Workplaces

Smart Data Collective

The market for cloud technology is growing remarkably. One study shows spending on cloud services doubled between 2017 and 2020 from $30 billion to $60 billion. Cloud technology is changing the face of the modern workplace. More companies than ever are leveraging the cloud to boost productivity, improve customer service strategies and streamline the research and development process.

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How to Get Up and Running with SQL – A List of Free Learning Resources

KDnuggets

We have compiled a list of the top free resources to help new data practitioners learn SQL. These include free online courses and resources to get the most out of your SQL skills.

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Sentiment Analysis Using VADER

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A business or a brand’s success depends solely on customer satisfaction. Suppose, if the customer does not like the product, you may have to work on the product to make it more efficient. So, for you to identify this, you will be […]. The post Sentiment Analysis Using VADER appeared first on Analytics Vidhya.

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How data can move the needle on supply chain

CIO Business Intelligence

Data-driven supply chains continues to be a hot topic, given what’s happened over the last couple of years with the pandemic, lockdowns, transportation woes, container ships held outside ports, war in Ukraine and other issues wreaking havoc. Problems caused by these events are ongoing, but if addressed from a proactive rather than reactive standpoint, there are ways to mitigate their detrimental impact, especially when the analytics and processes become clear.

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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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How to Make a Not-So-Scary Starter Dashboard in Excel

Depict Data Studio

Dashboards aren’t scary! In this video, let’s make a starter dashboard in Microsoft Excel. You’ll learn how to make four quick visuals: Sparklines Data bars Symbol fonts Color scales. I use these visuals over and over in my real-life consulting projects. Watch the Tutorial. Sparklines. Sparklines are helpful for visualizing patterns over time, like daily, weekly, monthly, quarterly, or annual data.

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AI in FinTech: Managing the Finance of the Future

KDnuggets

Digital transformation is evolving, and so is the fintech industry by implementing AI trends and leveraging several benefits, such as optimizing productivity, increasing ROI, and enhancing security.

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Real-time Challenges of Machine Learning Projects

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning projects can be extremely challenging in the IT industry. Several factors can make them difficult, including the volume of data that needs to be processed, the complexity of the algorithms involved, and the need to ensure that the systems are […].

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Implementation partners get strategic — so should CIOs’ use of them

CIO Business Intelligence

As transformational IT has increasingly become a business imperative, implementation partners have been looking to strengthen their value proposition for their customers. To differentiate themselves from transactional service providers, the more proactive partners are evolving their offerings and approaches, thereby becoming more strategic than they had been in the past.

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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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Cloud Helps Russian Developers Gain Global Popularity

Smart Data Collective

From creating world-famous games like Tertis to being recognized by Google and Facebook with some of the most prestigious programmer awards, Russian developers have come a long way to becoming global leaders in programming. The country is known for its large pool of skilled and expert programmers who are capable of accomplishing the most challenging tasks.

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NLP Interview Questions

KDnuggets

What is NLP, and what types of questions related to NLP can you expect at the NLP-related job interviews?

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Demystifying NoSQL: Your Complete Interview Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In data science, learning about databases is inevitable. In fact, as a data science expert, you have to learn how to work with databases, run queries quickly, and more. There is no way around it! He has two things to know. Learn […]. The post Demystifying NoSQL: Your Complete Interview Guide appeared first on Analytics Vidhya.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax. From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. New research co-authored by Marco Iansiti, the co-founder of the Digital Initiative at Harvard Business School, sheds further light on how a data platform with robust real-time capabilities contribute to delivering competitive, ML-driven e

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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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AI Governance: Break open the black box

IBM Big Data Hub

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. While the promise of AI isn’t guaranteed and doesn’t always come easy, adoption is no longer a choice.

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Interview Kickstart Data Science Interview Course — What Makes It Different?

KDnuggets

Interview Kickstart’s Data Science Interview Course is built by Data Scientists from MAANG and other big tech companies, the course promises to get you interview-ready in 15 weeks.

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Reduce Equation of Quantum Physics Using Artificial Intelligence

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Physicists have reduced a quantum physics problem that required 100,000 equations into a bite-size task that only requires four equations using Artificial Intelligence (AI). Researchers at the US-based Flatiron Institute trained a machine learning tool to grasp the physics of electrons moving on […].

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CIO Guy Hadari on the management skills that set IT leaders apart

CIO Business Intelligence

To Guy Hadari, CIO of Biogen, the most important, but often overlooked skill for a CIO is management. “Most people consider the CIO to be a technology person, and they want to put them in a technology box, but technology should be only 20% of a CIO’s job,” says Hadari, who has been leading IT for the $15 billion biotech business since March 2021. “CIOs need to understand infrastructure, security, and business applications at a high level, but it is more important that they know how to manage a b

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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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Diffusion Models – More than Adding Noise | Domino Data Lab

Domino Data Lab

Go to your favourite social media outlet and use the search functionality to look for DALL-E. You can take a look at this link to see some examples in Twitter. Scroll a bit up and down, and you will see some images that, at first sight, may be very recognisable. Depending on the scenes depicted, if you pay a bit more attention you may see that in some cases something is not quite right with the images.

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Top Posts September 26 – October 2: Free Algorithms in Python Course

KDnuggets

Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • Lessons from a Senior Data Scientist • A Day in the Life of a Data Scientist: Expert vs. Beginner • 7 Machine Learning Portfolio Projects to Boost the Resume.

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Apache Kafka Use Cases and Installation Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Today, we expect web applications to respond to user queries quickly, if not immediately. As applications cover more aspects of our daily lives, it is increasingly difficult to provide users with a quick response. Source: kafka.apache.org Caching is used to solve […].

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7 signs it’s time for a new CIO job

CIO Business Intelligence

Parting may be a sweet sorrow, but it can be inevitable when a CIO detects a tell-tale sign that a quick and clean employment departure represents the best course of action. Most CIOs at one time or another have found themselves working at an enterprise that has seriously altered course, lost its focus, neglected competitiveness, or changed in some other significantly detrimental way.

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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.