Sat.Jan 21, 2023 - Fri.Jan 27, 2023

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The Ultimate Guide to Choosing the Best Data Science Course to Boost Your Career in 2023

Analytics Vidhya

Introduction Data science is a rapidly growing field with many career opportunities. Data scientists are at the forefront of solving complex problems using data-driven approaches, from predicting market trends to developing personalized recommendations. To succeed in this field, you’ll need a strong foundation in mathematics, statistics, and computer science and the ability to work with […] The post The Ultimate Guide to Choosing the Best Data Science Course to Boost Your Career in 2

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CIOs sharpen tech strategies to support hybrid work

CIO Business Intelligence

A significant number of organizations are operating in a hybrid model — and expect to continue with that hybrid environment for the foreseeable future. Global analytics and advice firm Gallup has found that the percentage of remote-capable workers working in a hybrid environment increased in 2022 , moving from 42% in February to 49% in June. Gallup also found that only 20% of remote-capable employees were working fully on-site while 30% were fully remote in 2022.

Strategy 142
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Prevedere Provides Predictive Insights with Analytics and Planning

David Menninger's Analyst Perspectives

Markets have been more volatile than ever. It creates a need for decision makers to utilize technologies such as artificial intelligence and machine learning (AI/ML) to better understand the external factors that impact their business. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities.

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5 Ways to Deal with the Lack of Data in Machine Learning

KDnuggets

Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

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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 Future of Machine Learning: AutoML

Analytics Vidhya

Introduction Source – mccinnovations.com Do you ever wonder how companies develop and train machine learning models without experts? Well, the secret is in the field of Automated Machine Learning (AutoML). AutoML simplifies the process of building and tuning machine learning models for organizations to harness the power of […] The post The Future of Machine Learning: AutoML appeared first on Analytics Vidhya.

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6 tips for making the most of a tight IT budget

CIO Business Intelligence

IT leaders seeking to drive enterprise growth through technology investments are often saddled with budgets that make their tasks of increasing the top and bottom lines challenging. The year 2023 seems to be no different. Despite an estimated increase to IT budgets of 5.1% on average for 2023, research firm Gartner points to a projected 6.5% global inflation rate, an ongoing talent squeeze, and persistent supply issues as a triple threat to CIOs’ ability to realize time to value for their tech i

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The ChatGPT Cheat Sheet

KDnuggets

Impress your friends and loved ones by perfecting your ChatGPT prompt engineering game with this incredibly useful resource.

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Introduction to Redis OM in Python

Analytics Vidhya

Introduction Redis OM is a widely used in-memory database deployed as a cache or database and message broker. It is well-suited for high-performance, real-time applications that need low-latency data access. Redis supports several data types, including strings, lists, sets, and hyperloglogs. Redis-py is one of the most used Redis Clients for python to access the Redis […] The post Introduction to Redis OM in Python appeared first on Analytics Vidhya.

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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO Business Intelligence

OpenAI has landed billions of dollars more funding from Microsoft to continue its development of generative artificial intelligence tools such as Dall-E 2 and ChatGPT. A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Microsoft stands to benefit from its investment in three ways.

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Why Is Data Architecture Important for the Success of AI?

Dataiku

If there’s one thing we’ve learned at Dataiku after talking to thousands of prospects and customers about their data architecture it’s that architecture frameworks tend to be more aspirational than realistic because, at the enterprise level, data architecture is both complex and constantly changing. But the importance of data architecture in the success of AI initiatives at an organization also cannot be understated.

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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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From Data Collection to Model Deployment: 6 Stages of a Data Science Project

KDnuggets

Here are 6 stages of a novel Data Science Project; From Data Collection to Model in Production, backed by research and examples.

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Step-by-Step Working of Decision Tree Algorithm

Analytics Vidhya

Introduction Hi everyone! I hope by now you are familiar with linear and logistic regression. In those algorithms, the major disadvantage is that it has to be linear, and the data needs to follow some assumption. For example, 1. Homoscedasticity 2. multicollinearity 3. No auto-correlation and so on. But, In the Decision tree, we don‘t […] The post Step-by-Step Working of Decision Tree Algorithm appeared first on Analytics Vidhya.

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United Airlines gives employees the digital tools to make customers happy

CIO Business Intelligence

As CIO of United Airlines, Jason Birnbaum is laser focused on using technology and data to enable the company’s 86,000 employees to create as seamless a customer travel experience as possible. “Our goal is to improve the entire travel process from when you plan a trip to when you plan the next trip,” says Birnbaum, who joined the airline in 2015 and became CIO last July.

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Podcast: Discovering Data: Build a little, test a little, learn a lot

DataKitchen

The post Podcast: Discovering Data: Build a little, test a little, learn a lot first appeared on DataKitchen.

Testing 100
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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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5 Free Data Science Books You Must Read in 2023

KDnuggets

Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

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Why is Sigmoid Function Important in Artificial Neural Networks?

Analytics Vidhya

Introduction The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep into the sigmoid function and explore its properties, applications, and implementation in code. Source: Pixabay First, let’s start with the basics. The sigmoid function is a mathematical function that maps […] The post Why is Sigmoid Function Important in Artificial Neural Networks?

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2023: The year of the rise of the digital economy in GCC countries

CIO Business Intelligence

The pandemic has led many organizations in the Middle East to shift towards a digital-first strategy. According to IDC’s group vice president and regional managing director for the Middle East, Turkey, and Africa, Jyoti Lalchandani: “This means choosing digitalization options over non-digital options as a rule while implementing or enhancing new products, services, channels, customer/employee experiences, or operational processes.

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5 Benefits of Analytics to Manage Commercial Construction

Smart Data Collective

Analytics technology is changing the state of many different industries. The construction sector is no exception. Construction companies are projected to spend nearly $19.7 billion on analytics technology by 2027. While a growing number of construction companies are starting to appreciate the importance of analytics technology, some are still unaware of the benefits.

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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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Genetic Programming in Python: The Knapsack Problem

KDnuggets

This article explores the knapsack problem. We will discuss why it is difficult to solve traditionally and how genetic programming can help find a "good enough" solution. We will then look at a Python implementation of this solution to test out for ourselves.

Testing 110
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Artificial Intelligence in Sports: Generating Match Highlights With AI

Analytics Vidhya

Introduction The FIFA World Cup 2022 may be over, but the story of Belgian striker Romelu Lukaku’s performance against Croatia will be remembered as one of the tournament’s most heartbreaking tales. Despite his high transfer fee tagged to his name, Lukaku’s inability to convert easy chances led to Belgium’s early exit. But what if there […] The post Artificial Intelligence in Sports: Generating Match Highlights With AI appeared first on Analytics Vidhya.

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Giant Eagle CIO Kirk Ball on what’s fresh in the digital grocery experience

CIO Business Intelligence

Based in Pittsburgh and privately owned, grocery chain Giant Eagle, with 34,000 employees across 570 locations, raced to deliver new digital experiences and buying capabilities for their customers during those intensely challenging early months of the pandemic. And it’s during that time when Ball joined, in June 2020. “The pandemic certainly accelerated the growth and adoption of buying online, and that certainly caused us to accelerate the landscape and breadth of the offering we have,” he says

Strategy 111
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Four Strategies For Effective Database Compliance

Smart Data Collective

Modern data is an increasingly overwhelming field, with new information being created and absorbed by businesses every second of the day. Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies. Of all of those tactics, storing structured data in databases is by far one of the most effective.

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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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Setup and use JupyterHub (TLJH) on AWS EC2

KDnuggets

JupyterHub is a multi-user, container-friendly version of the Jupyter Notebook. However, it can be difficult to setup. This blog post will make you less likely to run into issues in this 15+ step process.

IT 110
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How is TinyML Used for Embedding Smaller Systems?

Analytics Vidhya

Introduction There are many emerging trends in the tech world, and Machine Learning is one of them. Machine Learning is a subset of Artificial Intelligence where a computer learns from data and analyses its patterns to predict an outcome. Usually, Machine Learning models are trained on big chunks of data to analyze the patterns where […] The post How is TinyML Used for Embedding Smaller Systems?

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AVM Cloud: Empowering Enterprises in Malaysia to Deploy a Robust Sovereign Cloud

CIO Business Intelligence

Already a leader in Malaysia’s burgeoning cloud services and solutions sector when it was acquired by Time dotCom, one of the region’s largest fixed-line communications companies in 2021, AVM Cloud recently became one of the select group of providers who offer VMware Cloud Verified Services to earn the VMware Sovereign Cloud distinction. Originally known as Integrated Global Solutions Technologies, AVM Cloud has a long relationship with VMware going back to 2010.

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Automate deployment and version updates for Amazon Kinesis Data Analytics applications with AWS CodePipeline

AWS Big Data

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Customers are already using Kinesis Data Analytics to perform real-time analytics on fast-moving data generated from data sources like IoT sensors, change data capture (CDC) events, gaming, social media, and many others. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

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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.

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Top Posts January 16-22: ChatGPT as a Python Programming Assistant

KDnuggets

ChatGPT as a Python Programming Assistant • ChatGPT: Everything You Need to Know • Explainable AI: 10 Python Libraries for Demystifying Your Model’s …

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How is AI Improving the Data Management Systems?

Analytics Vidhya

Introduction Effective data management is crucial for organizations of all sizes and in all industries because it helps ensure the accuracy, security, and accessibility of data, which is essential for making good decisions and operating efficiently. Properly organizing and maintaining your data can help ensure that it is accurate and up to date. This is important […] The post How is AI Improving the Data Management Systems?

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DEI that works: 5 companies reaping the benefits of IT diversity strategies

CIO Business Intelligence

The tech industry has long been known for its lack of diversity and, as a result, there’s been a big push for companies to take DEI strategies seriously. Diversity not only helps organizations perform better but fostering equity and inclusion can also strengthen recruiting and retention rates, as well as overall employee satisfaction. In fact, diverse companies have been shown to have a 2.5 times higher cash flow per employee and three in four job seekers and workers prefer diverse companies, ac

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Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation

Smart Data Collective

Keeping your IT infrastructure in-tact while moving or relocating to a new location is a top priority at most organizations, especially cloud-centric companies. Given that IT increasingly affects every touchpoint of your business, any downtime can derail operations across the board, or worse result in theft or loss of data with far reaching consequences.

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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.