Tue.Jan 17, 2023

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Data Science and Artificial Intelligence in 2023 – Difference, Applications, & Job Trajectory

Analytics Vidhya

Introduction Data Science and Artificial Intelligence (AI) are two of the most rapidly growing and exciting technological fields today. Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions. In this blog, we will delve into the definitions of Data Science and AI, explore […].

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The 2023 Market Agenda for Analytics: Empowering Workforces to Engage

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2023 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

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Step-by-Step Guide to Becoming a Data Analyst in 2023

Analytics Vidhya

Introduction Data analytics is a field filled with promise. Corporations across all industries have invested significantly in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology. That growth is projected to continue in the future since industries that have been slow to adopt big data analytics, such as education, […].

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The 7 new rules of IT leadership

CIO Business Intelligence

The CIO role continues to evolve, changing as dramatically as the technology it manages and maintains. Moreover, the pace of the chief IT position’s transformation seems to be accelerating — likewise mirroring the speed of change in the tech stack. Consequently, tech executives must lead, manage, and work differently than they did in the past. How so?

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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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Fast-track your next move with in-demand data skills

KDnuggets

DataCamp offers over 400 interactive courses, projects, and career tracks in the most popular data technologies such as Python, SQL, R, Power BI, and Tableau. Start today and save up to 67% on career-advancing learning.

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4 moves CIOs should make to achieve a more efficient IT organization

CIO Business Intelligence

The effects of such an unpredictable environment are profound, and no organization in any industry is immune. Looking across our client base, we expect to see varying degrees of impact as the turbulence continues. The common thread? In almost every case, there’s an increased need for data insight and technology-enabled agility to reaffirm technology’s position at the center of investment strategy in order to achieve organizational growth.

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12 Docker Commands Every Data Scientist Should Know

KDnuggets

Looking to add Docker to your data science toolbox? Here’s a list of essential Docker commands to help you get started.

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AI Trends Are Shaping Sales

TDAN

The sales industry has been witnessing the rise of AI and automation over many years and 2023 will not be an exception. To stand out in a competitive industry, businesses must invest in revamping their existing sales processes and crafting a modern sales strategy that aligns with the sales predictions for 2023. The role AI […].

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Accelerating Aerospace Organizational Innovation, Speed, and Resilience with Digital Technologies

CIO Business Intelligence

Aerospace organizations are pushing new boundaries every day. Their products, research, and technologies are changing the way the world works. We see it every day in the way humanity relies on communication, global positioning, and special analytics to enable smart cities, smart cars, and smart factories. It is their ability to systematically innovate, push boundaries, and challenge norms that propels Aerospace every day — it is what excites growing countries and high-value entrepreneurs to inve

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Social User Authentication in Django Framework

KDnuggets

Learn how to perform social user authentication in the Django web app using third-party services like Google.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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A Data Scientist Explains: When Does Machine Learning Work Well in Financial Markets?

DataRobot Blog

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices.

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Data Value Chain: EDM Block (formerly Lego) Framework – Levels 3 & 4

TDAN

In 2022, we saw that Data Strategy played key role in the success of top performing companies globally. One of the reasons for the continued success of companies like Walmart, Amazon, Apple, Exxon Mobil, Google, CVS health, Toyota, Samsung etc. is being “data driven”. This article is continuation of the proposed enterprise data management block […].

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Case Study – Augmented Analytics for a leading Construction and Infrastructure Development Company in Saudi Arabia

Smarten

Client is a Saudi Arabia based company established in 1976, offering a wide range of services across multiple locations. The Company started with construction of various private and government facilities such as residential and commercial buildings, roads and other infrastructure for the development of the Kingdom of Saudi Arabia. With a pool of highly qualified professional managers, engineers and staff applying the latest technologies in business management and engineering techniques, the comp

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IT Industry Has No Building Code

TDAN

According to a Gartner report, 6.7 trillion dollars are spent annually on enterprise software. Yet, as much as we spend on enterprise software, there are no standards or principles for creating software. Teams literally do whatever they want when they create systems. They name things however they like, use whatever primary key method they prefer […].

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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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Spend Less, Get More: How Switching from Legacy PDF Editor Can Elevate Your Business

CIO Business Intelligence

The PDF is a de facto electronic file format for a wide range of industries, giving organizations a reliable way to present information to others in a format that remains consistent no matter the user’s underlying hardware or software. From financial statements and invoices to purchase orders and healthcare records, PDFs are a fundamental element of day-to-day workflow.

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Data Science for SaaS Companies

TDAN

Having a data science plan in place is important for any business. However, for a SaaS company, it becomes even more important as you handle a large volume of data that needs to be stored and processed in a variety of ways. The collection and analysis of data has many business benefits. It can help […].

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CIO Leadership live with TAB’s Fred Laury

CIO Business Intelligence

Fred Laury, Chief Digital Officer at TAB New Zealand, on the importance of empathy to influence and collaborate, how the CIO role is changing post-pandemic, and how he’s learned to adjust the sails in rough waters. Watch this episode: Listen to this episode: CIO, CIO Leadership Live.

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All in the Data: Empower Stewards with a Data Governance Toolkit – Part 1

TDAN

Most organizations that are implementing formal data governance programs understand that it is important to engage their data stewards. Data stewards should not sit around waiting to be told what to do, nor should they be expected to know how to act as formal data stewards. Data governance programs must focus on engaging and empowering […].

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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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Feeling the Heat? A Series on AI & the Corporate Paths to Net-Zero

Dataiku

Over a third of publicly listed companies have set net zero goals in 2022. The need to slash global emissions by half by 2030 has been demonstrated as essential to ensure the medium-term livability of our planet. That gives us the same seven years as NASA had to put a man on the moon — but history tells us that moonshots and other major feats start with epic targets.

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Fast-tracking Disability Claims

Decision Management Solutions

This is the second in a set of three posts – you can see the first on Reducing the cost of manual claims handling here. The series is designed to use specific real-world stories to illustrate the importance of handling your claims effectively, not just efficiently. Digitizing your claims process may help you process a claim more cheaply, but you also need to ensure that the right claims are paid, and the right approach is taken for each.

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Data Mesh vs Data Fabric: Understanding the Key Differences

Data Virtualization

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key. The post Data Mesh vs Data Fabric: Understanding the Key Differences appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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How FiveStars re-engineered its data engineering stack

CIO Business Intelligence

Building and managing infrastructure yourself gives you more control — but the effort to keep it all under control can take resources away from innovation in other areas. Matt Doka, CTO of FiveStars, a marketing platform for small businesses, doesn’t like that trade-off and goes out of his way to outsource whatever he can. It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to autom

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The Modern Data Stack Explained: What The Future Holds

Alation

Chances are, you’ve heard of the term “modern data stack” before. But you may not actually know what it really meant because many people use it as a buzzword! In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises.

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How IT leads can build a high-performing environment for sales teams

CIO Business Intelligence

Karl Nicholson, Technology Evangelist at Slack Ask any tech team, and they’ll tell you that the use of workplace apps has skyrocketed in recent years. Off the back of the pandemic, an age of technological empowerment swept in — where employees had greater autonomy in choosing the best tools they needed to do their best work. While best-in-breed solutions might suit individual needs, it can lead to more information silos cropping up and employees being overloaded with endless context-switching an

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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.

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What is an open data lakehouse and why you should care?

IBM Big Data Hub

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important. Why is a data lakehouse architecture becoming increasingly important?

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Hubble Outshines JDE Reporting Competition

Jet Global

JD Edwards (JDE) is a fully integrated ERP software suite that provides you with a choice of databases and deployment options, including on-premises, public, private, or hybrid cloud for maximized flexibility. However, while JDE is powerful, it’s not user-friendly and it doesn’t produce easy-to-understand visuals. You want to get the most out of your investment and this means getting rapid, real-time access to information in JDE.

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It’s 2023… are you still planning and reporting from spreadsheets?

IBM Big Data Hub

I have worked with IBM Planning Analytics with Watson , the platform formerly known as TM1, for over 20 years. I have never been more excited to share in our customers’ enthusiasm for this solution and how it is revolutionising many manual, disconnected, and convoluted processes to support an organisation’s planning and decision-making activities. Over the last few months, we have been collecting stories from our customers and projects delivered in 2022 and hearing the feedback on how IBM Planni