Tue.Jan 10, 2023

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What is the Role of a Mentor in Your Data Science Journey?

Analytics Vidhya

Source: istockphoto Introduction Data Science is a fast-booming domain that has seen exponential growth in recent years. It involves collecting, processing, and analysing data using math, statistics, specialized programming, artificial intelligence, machine learning, and more. Source: istockphoto Although Data Science has expanded beyond the IT and CS sectors and is now a part of almost […].

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5 hot IT hiring trends — and 5 going cold

CIO Business Intelligence

Hiring tech talent in 2023 means navigating an uncertain economy, the effects of widespread tech industry layoffs, and candidates who want to work for a company with a mission and workplace culture that align with their values, including diversity, equity, and inclusion. IT leaders say the best approach is to focus on adaptability. Firms that want to innovate and grow while headcounts are in flux are looking to upskill talent from within , promote their firm’s strengths to prospective candidates

IT 131
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Why Data-Driven SEO is Crucial for SMEs in This Recession

Smart Data Collective

More small businesses are leveraging big data technology these days. One of the many reasons that they use big data is to improve their SEO. Data-driven SEO is going to be even more important as the economy continues to stagnate. Some economists argue that the yield curve is providing false recession warnings , but there is still a high risk that a recession will occur.

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Product Discovery – Building the Right Things

Teradata

Product discovery is a process that cross functional product teams follow to reduce the uncertainty about a problem worth solving and a solution worth developing. Learn more.

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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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How to Future-Proof Your Technology With No-Code/Low-Code Solutions

CIO Business Intelligence

When it comes to technology, among the biggest concerns companies face is the rigidity and inflexibility of legacy platforms. These platforms make it difficult for business and IT leaders facing ever-evolving business needs to seamlessly implement a change. In some cases, an organization’s current tools simply can’t perform a necessary change or add a new feature.

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Beginner’s Guide to Cloud Computing

KDnuggets

Learn how cloud computing works, different types of models, top cloud platforms, and applications.

Modeling 117

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Performing a T-Test in Python

KDnuggets

An introduction to the t-test with python implementation.

Testing 119
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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Without a doubt, there is exponential growth in the access to and volume of process data we all, as individuals, have at our fingertips. Coupled with a current climate that is proving to be increasingly ambiguous and complex, there is a huge opportunity to leverage data insights to drive a more robust, evidence-based methodology to the way we work and manage change.

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What Do You Know About John Snow: The First Data Evangelist

Dataiku

Long before my data science days, I considered majoring in history at university. My journey pivoted since to neuroscience and biotech before eventually landing on data science. It’s no wonder then, given my various interests, that when I was revisiting my love for history on the History of Data Science page , John Snow’s story caught my eye. His famous 19th century epidemiology visual illustration truly inspired me and still has an impact on the way I approach my data science work today.

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What Is the True Value of a Data Catalog?

Alation

When considering implementing any new tool or software, the first thing many organisations will ask is what is the value add. And implementing a data catalog is no different. From helping analysts search and find the data they need to promoting data as an asset, there are many ways data catalogs can add value to your organisation. But the actual value you can get out of a data catalog will depend somewhat on the reason you’re looking to implement one in the first place.

ROI 52
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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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Digesting 2022

O'Reilly on Data

The holidays are over, and it’s time to digest. Although I don’t subscribe to the idea that history or technology moves in jerky one-year increments, it’s still valuable to take stock, look at what’s happened, and decide what was important and what isn’t. We started the year with many people talking about an “AI winter.” A quick Google search will show that anxiety about an end to AI funding has continued through the year.

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How IoT Can Be Connected to Business Intelligence

Smart Data Collective

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. But what if we combine these technologies? Will it make sense? There can’t be other answers apart from “Yes”. In this article, we offer you to have a look at how it can be done and provide you with step-by-step instructions.

IoT 107
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DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. 42% of data scientists are solo practitioners or on teams of five or fewer people.

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Fascinating Changes Data Analytics Brings to Finance

Smart Data Collective

Data analytics technology has led to a number of impressive changes in the financial industry. A growing number of financial professionals are investing in data analytics technology to provide better service to their customers. The market for financial data in the United States alone is projected to be worth over $20.8 billion by the end of this year.

Finance 96
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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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How No-Code/Low-Code Solutions Help IT Organizations Evolve

CIO Business Intelligence

When it comes to application development, many companies are pursuing no-code and low-code solutions to stay competitive. No-code and low-code solutions require less coding expertise, making application development accessible to more employees and enabling IT staff to focus on more strategic initiatives. They also give end users flexibility and control — all of which is especially valuable during a critical time of ongoing shortages of highly skilled IT workers.

IT 128
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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

In this example, we will demonstrate using current data within a Netezza Performance Server as a Service (NPSaaS) table combined with historical data in Parquet files to determine if flight delays have increased in 2022 due to the impact of the COVID-19 pandemic on the airline travel industry. This demonstration illustrates how Netezza Performance Server (NPS) can be extended to access data stored externally in cloud object storage (Parquet format files).