Mon.Jan 22, 2024

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Geoprocessing enhancements in ArcGIS Pro 3.2 for ArcMap users

ArcGIS

Equivalency enhancements to geoprocessing in ArcGIS Pro 3.2 to remove more barriers for those transitioning from ArcMap.

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3 Crucial Challenges in Conversational AI Development and How to Avoid Them

KDnuggets

Developing a conversational AI chatbot requires substantial effort. However, understanding and addressing key challenges in natural language understanding can streamline the development process.

Process 105
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CSM vs PSM: Main Differences Between CSM & PSM Certification

Knowledge Hut

In today's era of digital transformation and rapidly evolving technological trends, it is imperative for IT professionals to keep up with the latest know-how about the subject matter, tools, and skills. Other than pursuing career-oriented courses and certifications, there is no better way for professionals to achieve this objective. Certifications are like stepping stones for professionals guiding their career journey and learning paths to progress ahead and stay in vogue with job demands as wel

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3 Interesting Uses of Python’s Context Managers

KDnuggets

Context managers in Python help you handle resources efficiently. Let's learn how you can use them to manage database connections, subprocesses, and more.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Top 7 Six Sigma Companies With Successful Implementation

Knowledge Hut

Although Six Sigma was primarily developed to enhance quality in the manufacturing industry, now six sigma concept is used to measure the companies to assist several business processes. Over time, I've seen a big change in how different industries work. Things like hospitality, healthcare, aviation, and finance are now using something called Six Sigma.

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Exploring the Zephyr 7B: A Comprehensive Guide to the Latest Large Language Model

KDnuggets

Zephyr is a series of Large Language Models released by Hugging Face trained using distilled supervised fine-tuning (dSFT) on larger models with significantly improved task accuracy.

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Building and Customizing GenAI with Databricks: LLMs and Beyond

databricks

Generative AI has opened new worlds of possibilities for businesses and is being emphatically embraced across organizations. According to a recent MIT Tech.

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Introducing the New Fully Managed BigQuery Sink V2 Connector for Confluent Cloud: Streamlined Data Ingestion and Cost-Efficiency

Confluent

The new fully managed BigQuery Sink V2 connector for Confluent Cloud offers streamlined data ingestion and cost-efficiency. Learn about the Google-recommended Storage Write API and OAuth 2.0 support.

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Customer Engagement Trends for 2024

Precisely

Intensive digitization and the rise of artificial intelligence (AI), an uncertain economic climate, and evolving consumer expectations mean that delivering an outstanding customer experience (CX) is more important than ever. While companies are making progress , 2024 will bring new challenges in meeting rising consumer expectations. Customers expect seamless and personalized experiences that meet them wherever they are in a dynamic, non-linear journey from awareness to purchase to loyalty.

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A Guide on Service Request Management in ITIL4

Knowledge Hut

If you're looking to dive into the IT field, understanding the service request management in ITIL is crucial. In ITIL4, service requests play a key role in helping IT experts assist clients facing issues with applications, networks, or technical equipment. Many companies have dedicated IT support teams specialized in resolving these problems and enhancing overall user experience.

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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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Beyond the Hype: Was the threat the CRA seemed to pose to open source just hype? by Colin Eberhardt

Scott Logic

In this episode, I’m joined by Rebecca Rumbul, CEO of Rust Foundation, and Mirko Boehm from Linux Foundation Europe. Between them, they have decades of experience in open source. We start by discussing the critical role open source has grown to play in the world of software and how this, along with its growing complexity, presents significant challenges.

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PRINCE2 Advantages and Disadvantages of 2024

Knowledge Hut

At its most basic level, project management is a set of tools, techniques, or processes meant to help managers like us find the best way to implement a project. A project is a temporary effort that aims to create value through a unique offering. Examples include building a bridge for kids in rural areas to reach school, expanding a business into new markets, or teaming up with a new HRMS provider to improve employee well-being.

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Where can we apply GenAI in Life Sciences?

RandomTrees

Generative AI is completely reshaping the field of life sciences. It improves accessibility, encourages innovation for greater value, lowers disparities in research and treatment, and harnesses large-scale medical data analysis to create new data. Generative AI has become an influential trend that is changing traditional approaches in the life sciences.

Medical 52
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What is DPMO & How to Calculate It? With Examples

Knowledge Hut

I work with a set of business tools and procedures known as Six Sigma. It's one of the most sought-after business methodologies that helps me ensure that operations are both effective and efficient. Originally developed by a scientist working at Motorola in the 1980s, Six Sigma is a technique that uses statistical, financial analytical, and project management processes to improve the functional and qualitative aspects of a business by reviewing mistakes and defects.

IT 52
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Ethical Hacker Salary in 2024: Top 6 Countries Around The World

Edureka

You’ve probably heard of the phrase “ethical hacker” and are excited about the prospect of working in the field of cybersecurity. But have you ever thought about the financial advantages of going into ethical hacking? The role of an ethical hacker is to safeguard digital systems by identifying and addressing vulnerabilities before malicious hackers can exploit them.

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10 Best Front End Development Books in 2024 [For All Levels]

Knowledge Hut

According to the "Future of Jobs Report 2023" by the World Economic Forum, front-end developers will be among the top jobs in the coming years. This is driven by the increasing importance of user experience and the growth of web and mobile applications. Front-end development is a hot topic right now, and for good reasons – it’s a fascinating, fast-moving field with a ton of potential.

Media 52
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How to Write a Full-Stack Scala 3 Application with the Typelevel Stack

Rock the JVM

1. Introduction The Typelevel stack is one of the most powerful sets of libraries in the Scala ecosystem. They allow you to write powerful applications with pure functional programming - as of this writing, the Typelevel ecosystem is one of the biggest selling points of Scala. The Typelevel stack is based on Cats and Cats Effect. The Cats library offers general functional programming abstractions, e.g. functors , monads , applicatives, etc; while the Cats Effect library defines what it means to

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Data Science Course Fees, Eligibility & Duration

Knowledge Hut

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Picture yourself at the intersection of statistics and algorithms, where every line of code has the potential to unlock profound insights and reshape industries.

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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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Tale of 'metadpata': the revenge of the supertools

Zalando Engineering

The perfect storm In the mids of Cyber Week preparation in November 2022, I was DMd by a colleague with a request to quickly join a call. To my surprise as I was anticipating a 1:1 call, I got greeted by a message indicating that 60+ others are in the call as well. It turned out that I was just about to join an incident response call for what later got to be known internally as the "metadpata" incident.

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17 Best Six Sigma Books in 2024 [Beginners to Advanced]

Knowledge Hut

Thinking about getting Six Sigma certified? It's a solid career move, and personally, I've found it to be quite impactful. Having that certification is like telling employers, "I've got the know-how to make things run smoother." It goes beyond just looking good on your resume – it signals that you can enhance processes, meet targets, and amp up efficiency and profits.

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Fidelity Optimizes Feature Engineering With Snowpark ML

Snowflake

For the past few years, Fidelity Investments has been moving a significant percentage of its applications to a cloud-based infrastructure. As part of that transition, Fidelity has consolidated its analytics data into its Enterprise Analytics Platform, which is engineered using the Snowflake Data Cloud, making it easier for teams and departments across the company to access the data they need.

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Product Manager vs Business Analyst: Which One to Choose?

Knowledge Hut

When a firm decides to develop complicated products gradually, roles such as product managers and business analysts are formed. Although product managers and business analysts appear to collaborate closely on projects, they each have distinct roles that enable people to differentiate between the two. They both go by numerous names, such as engineering manager, project manager , scrum master, and so on, which adds to the complexity.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In honor of this achievement, we’d like to re-introduce ourselves for 2024 and let everyone know why DataOS has been and still is one of the most innovative and reliable ways for organizations not only to interact with their data but to put that data to work once and for all.

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Data Science in FinTech: Roles, Use Cases, and Benefits

Knowledge Hut

Financial technology, popularly referred to as FinTech, is one of the fastest-growing areas of technological innovation and is popular with venture capitalists. FinTech refers to a set of technologies that focus on new ways of providing banking and financial services to consumers. When you use PayPal, Google Pay, or your credit card to pay online, you, the consumer, the e-commerce company, as well as the bank are all using FinTech to complete the transaction.

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. In honor of this achievement, we’d like to re-introduce ourselves for 2024 and let everyone know why DataOS has been and still is one of the most innovative and reliable ways for organizations not only to interact with their data but to put that data to work once and for all.

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DevOps vs DevSecOps: Top Differences & Similarities

Knowledge Hut

DevOps and DevSecOps are two relatively new terms in the world of information technology. While both concepts have been around for quite some time, they have only recently become popular buzzwords. So what exactly are DevOps and DevSecOps, and what are the top differences between them? In this post, we'll outline the top differences between DevOps and DevSecOps.

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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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The Self Variable in Python Explained with Python Examples

Knowledge Hut

Understanding the significance of the self variable in Python classes and object-oriented programming (OOP) is paramount for effective manipulation and construction of Python objects. The self variable establishes a crucial link to the class instance, facilitating access to its attributes and methods. In the realm of class methods, it is a convention to designate the first parameter as self, though it can be named differently if necessary.

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Async Await in Node.js – How to Master it?

Knowledge Hut

When I entered the Node.js domain, the non-blocking nature of asynchronous code execution perplexed me. Discovering promises and node js async await function proved instrumental in achieving synchronous behavior. Async await is originally part of JavaScript ECMAScript 2017, as Nodejs too works on JavaScript same concept can be used there too. Before delving into async await in nodejs, let's distinguish between asynchronous and synchronous programming.

IT 52
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Entity in DBMS: Definition, Types and Examples

Knowledge Hut

When it comes to managing data, a database management system (DBMS) is a vital tool. But what is an entity? And why is it so important in a DBMS? Database management systems (DBMS) use entities to represent and manage data. An entity is an object that has a unique identity and can be manipulated as a single unit. In a DBMS, entities are usually organized into tables, which allow for more efficient storage and retrieval of data.

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Data Visualization Design: Best Practices and Tips

Knowledge Hut

In this article, we will talk about why data visualization design is essential and how you can create a clear visualization. Data visualization design has become one of the most demanded skills in the data science industry. An analyst's responsibility is no longer only to extract and analyze data but also to deliver it to the end user in the best possible manner.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.