Tue.Apr 26, 2022

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7 hot IT outsourcing trends — and 7 going cold

CIO Business Intelligence

Over the past two years, digital transformation strategies have accelerated as fundamental to business survival. Companies are expected to spend $6.3 trillion on direct digital transformation investments between 2022 and 2024, according to research firm IDC’s most recent predictions. As IT organizations accelerate their digital initiatives at scale, their relationships with IT service providers have grown more important.

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Building State-of-the-art Text Classifier Using HuggingFace and Tensorflow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this blog, let’s explore how to train a state-of-the-art text classifier by using the models and data from the famous HuggingFace Transformers library. We will see how to load the dataset, perform data processing, i.e. tokenisation and then use the processed […].

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Want to Use Your Data Skills to Solve Global Problems? Here’s What You Need to Know

KDnuggets

Global risk management is an arena where data brings order to an unpredictable world. Johns Hopkins University’s part-time Master of Arts in Global Risk (online) takes just 18 to 21 months to complete. This multidisciplinary program helps professionals develop the skills to make forward-looking decisions that contribute to risk management.

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Bayesian Approach to Regression Analysis with Python

Analytics Vidhya

Introduction on Bayesian Approach The entire world of statistical rigour is split into two parts one is a Bayesian approach and the other is a frequentist. And it has been a moot point for statisticians throughout the century which one is better than the other. It is safe to say that the century has been […]. The post Bayesian Approach to Regression Analysis with Python appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Backcountry modernizes for the cloud era

CIO Business Intelligence

Undertaking a top-to-bottom modernization of a dusty enterprise stack can feel a bit like scaling a mountain. At least that has been the experience of Backcountry CTO Sridhar Nallani, who was hired in 2020 specifically to overhaul the online retailer’s digital presence. Despite nearly $1 billion in online revenue in 2020, the web-based outdoor recreational retailer was running its entire business on an outdated and unsupported e-commerce platform called ADT.

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Binary Classification on Skin Cancer Dataset Using DL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Binary Classification Artificial Intelligence, Machine Learning and Deep Learning are transforming various domains and industries. One such domain is the field of Healthcare. ML is used in healthcare for a variety of purposes. It allows healthcare providers to generate massive amounts of […].

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Data Preprocessing Using PySpark’s DataFrame

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on PySpark’s DataFrame From this article, I’m starting the PySpark’s DataFrame tutorial series and this is the first arrow. In this particular article, we will be closely looking at how to get started with PySpark’s data preprocessing techniques, introducing what PySpark’s DataFrame looks […].

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How Computer Vision is Revolutionizing the Manufacturing Supply Chain

CIO Business Intelligence

Ever increasing advances in technology and continuous process optimization techniques have helped ensure that the global supply chain runs efficiently, turning raw materials into products that make their way to physical stores and ecommerce warehouses. However, we’ve witnessed how an outside disturbance like a pandemic or flood can fracture the supply chain, throwing businesses and consumers into temporary chaos.

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Apache Cassandra: High-Performance Distributed NO-SQL Database

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache Cassandra Apache Cassandra is a scalable database intended to manage massive volumes of data over many commodity computers while maintaining high availability and avoiding a unique failure point. It has high performance, and it is a NO-SQL database. Before understanding […].

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Open Group goes modular with 10th edition of TOGAF standard

CIO Business Intelligence

The vendor-neutral Open Group Architecture Forum has launched the 10th edition of its TOGAF standard this week, with the latest edition of the popular enterprise architecture framework being given a modular redesign aimed at easing adoption for practitioners. The Open Group Architecture Framework (TOGAF) has been around since 1995 and aims to help organize the software development process in a way that reduces errors, helps hit deadlines, stay on budget, and align with key business units.

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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 Beginners Guide to Spark DataFrame Schema

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction DataFrame is the most popular data type in Spark, inspired by Data Frames in the panda’s package of Python. DataFrame is a tabular data structure, that looks like a table and has a proper schema to them, that is to say, […]. The post A Beginners Guide to Spark DataFrame Schema appeared first on Analytics Vidhya.

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Emerging Risks are Systemic

Teradata

Managing the new class of emerging risks requires infusing the principles of resiliency and efficient risk analytics into traditional risk management frameworks.

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How to Optimize ROI Using Customer Lifetime Value?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Customers are the most important driver of growth and the foundation of every business. More customers translate into higher revenues and better profitability in the long run. But in recent times, and due to heavy competition customer loyalty to a brand has […]. The post How to Optimize ROI Using Customer Lifetime Value?

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A Simple Guide to Machine Learning Visualisations

KDnuggets

Create simple, effective machine learning plots with Yellowbrick.

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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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Getting Started with databases like MySQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Databases like MySQL Nowadays data is growing exponentially in this world. But we need a way to store, process, and use this data efficiently in the future. This led to the evolution of Databases. Databases are used to manage the data […]. The post Getting Started with databases like MySQL appeared first on Analytics Vidhya.

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Experience Obsolesce: The Glaring Reality of Rapid Technology Change!

Smarten

You hear it every day of your life. “Experience counts.” With experience comes valuable knowledge and, presumably, a history of what works, what has been tried, and how to navigate life and business. But, there is a growing phenomenon in the IT community, one that challenges the concept of experience and a lifelong dedication to a career or area of study.

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Feature Engineering Tips for Better Model Performance

Dataiku

The art of feature engineering in data science is often a balance between extracting more or new features and removing irrelevant or noisy features — too much or too little, and your model performance degrades, is difficult to interpret, or is overfitted. Feature engineering is the iterative process of transforming raw data into a form that provides optimal signal to models — all with the goal of creating simpler models with better results.

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insightsoftware Expands Jet Reports Integration with Microsoft 365

Jet Global

Organizations running Microsoft Dynamics 365 Financial & Supply Chain Management can now leverage insightsoftware’s market-leading financial and business reporting solution. RALEIGH, N.C.—April 26, 2022 — insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced the integration of its market-leading financial and business reporting solution, Jet Reports , with Microsoft Dynamics 365 Financial & Supply Chain Management (F&SCM).

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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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Getting Started with Big Data & Hadoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Big Data & Hadoop The amount of data in our world is growing exponentially. It is estimated that at least 2.5 quintillions of data are being generated every day. No wonder why Big Data is a fast-growing field with great opportunities […]. The post Getting Started with Big Data & Hadoop appeared first on Analytics Vidhya.

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Storage as a Service Can Drive Transformation — If It’s Agile Enough for All Workloads

CIO Business Intelligence

Just a few years ago, enterprises were rapidly shifting to a cloud-first IT model in the expectation that moving operations to the cloud would solve many, if not all, of IT’s roadblocks, while offering few, if any, drawbacks. The public cloud delivered a new kind of IT and a new kind of experience — scalable, seamless, and simplified. Cloud set the standard for agility with an operational model that enabled customers to deploy new apps and services quickly and easily.

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Overcome These 4 Common D365 F&SCM Challenges with Jet Reports

Jet Global

So, you’re working for a medium to large enterprise that uses Microsoft Dynamics 365 Finance & Supply Chain (D365 F&SCM) as its ERP system. You have multiple options for reporting and analysis available to you from Microsoft. But if your business is growing, you are probably looking to push beyond the out-of-the-box capabilities to develop your own custom analysis and meaningful data insights.

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Great Financial Storytelling Begins with Great Tech

Jet Global

Finance professionals know that data matters, but stories convey truth in ways that mere numbers simply cannot. Those who work in finance may describe themselves as “numbers people.” They have a natural affinity for quantitative information, as well as a knack for drawing meaningful conclusions when presented with a collection of numerical figures. Even so, finance team members probably understand and retain information more readily when it’s presented in narrative form.

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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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Why Finance Teams Are Facing Higher Pressure Than Ever

Jet Global

Today’s finance teams are under more pressure than ever before. In a world marked by volatility, the Office of the CFO is playing an increasingly strategic role. Finance is responsible for knowing where their business stands today, and also for mapping out the road ahead. In the wake of the pandemic, businesses face supply chain challenges, price volatility, and a shortage of qualified talent.

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Winning with Analytics: The Transformation of Clinical Trials for Scientists

Jet Global

The end goal of clinical technology organizations in the US and abroad is to use modern technology to bring life-saving new treatments to fruition. Leaders in this sphere help generate the evidence and insights to help biotech, pharmaceutical, medical device, and diagnostic companies accelerate value, minimize risk, and optimize outcomes. Life sciences clients recognize that technology is the answer to inefficiencies and delays in delivering new treatments to the public.