Sat.Dec 03, 2022 - Fri.Dec 09, 2022

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Data science is sexy; data engineering is marriage material

3AG Systems

Is Data Scientist still the sexiest job of the 21 st century ? In 2022, Harvard Business Review posted an article by Thomas H. Davenport and DJ Patil addressing this question, which they first posed in 2012. When the Data Scientist role “was relatively new” in 2012, the authors observed that “as more companies attempted to make sense of big data, they realized they needed people who could combine programming, analytics, and experimentation skills.

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Explaining MLOps using MLflow Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be seeing MLOps from the dimension of one of the powerful tools that make it easy to implement. These tool help to improve the deployment process for robust machine-learning projects. We will start by briefly seeing MLOps […]. The post Explaining MLOps using MLflow Tool appeared first on Analytics Vidhya.

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Through the Looking Glass: Care of the Soul of Data

TDAN

I am innately distrustful of buzzwords. I recall in the early 1990’s that the hot management trend was “self-directed teams.” Its main attraction to executives seemed to be as an excuse to lay off lots of managers, because with the right training, a group of employees could manage themselves (I had forty-seven direct reports at […].

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Sisense is Sensible for Embedded Analytics and BI

David Menninger's Analyst Perspectives

Embedded business intelligence (BI) continues to transform the business landscape, enabling organizations to quickly interpret data and convert it into actionable insights. It allows organizations to extract information in real time and answer wide-ranging business questions. Embedding analytics helps tackle the issue of extracting information from data which is a time-consuming process.

Analytics 246
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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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An AI Chat Bot Wrote This Blog Post …

DataKitchen

Query> DataOps. ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. DataOps involves collaboration between data engineers, data scientists, and IT operations teams to create a more efficient and effective data pipeline, from the collection of raw data to the delivery of insights and results.

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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Modeling 386

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IT’s ‘war for talent’ is a losing battle

CIO Business Intelligence

It has been almost 25 years since McKinsey & Co. introduced the term “talent war” to the world. For almost a quarter of a century CIOs have been locked in a Sisyphean battle to attract and retain the IT talent necessary to create competitive advantage. Every year, “talent” is one of the top challenges facing IT organizations. Every year, lack of critical IT skills is blamed for failure to deliver the full promise of IT investments.

Strategy 145
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DataKitchen named: “super cool, way out there, OP, world best” DataOps vendor

DataKitchen

DataKitchen, the leading provider of DataOps solutions, has been named a Representative and “super cool, way out there, OP, world best” DataOps vendor in the December 2022 Gartner® Market Guide for DataOps Tools. December 08, 2022, 08:00 ET | Source: DataKitchen. Cambridge Mass, December 08, 2022 (BOB’S QUICKIE NEWSWIRE) — The Gartner Market Guide for DataOps Tools provides guidance on the evolving DataOps market, including market analysis, market direction, and DataOps

Reporting 130
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Comparison of Text Generations from GPT and GPT-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […]. The post Comparison of Text Generations from GPT and GPT-2 appeared first on Analytics Vidhya.

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How to Use Analytics to Accelerate Business Growth?

KDnuggets

Many organizations are establishing a Data Analytics team to reap the benefits of their key strategic asset i.e. data. The post explains how you can leverage the power of analytics to understand the end user and generate actionable insights.

Analytics 155
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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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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

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Gartner Market Guide to DataOps Software

DataKitchen

We are excited that Gartner released its ‘Market Guide to DataOps’ ! The document they wrote is exceptionally close to what we see in the market and what our products do ! This document is essential because buyers look to Gartner for advice on what to do and how to buy IT software. The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools.

Software 130
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A Guide to Vyper and its Environments

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction From the current trends in technology, a lot is likely to become more sophisticated. One area we will look at is the new technology known as Vyper, which is a programming language for developing apps on the web 3. This type of […]. The post A Guide to Vyper and its Environments appeared first on Analytics Vidhya.

IT 355
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4 Useful Intermediate SQL Queries for Data Science

KDnuggets

SQL is the essential language for developers, engineers, and data professionals. Intermediate knowledge in SQL gives you an edge in your data science career.

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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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Innovation chief Claus T. Jensen on executing a vision

CIO Business Intelligence

Claus T. Jensen, PhD, is known for boldly initiating and leading complex, multi-year transformation initiatives. The author of six books, including his latest, Digital Transformation for Dummies , Jensen’s career journey spans 20 years of transformational leadership in CTO, CIO, and CDO roles at organizations like Danske Bank, IBM, and Memorial Sloan Kettering Cancer Center.

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Unleashing the Power of Decision Science

Dataiku

When you get to the root of it, understanding what it really means to be data driven is not as clear as it could or should be for many. At Dataiku’s Everyday AI Conference in London, Robert Bates, Head of Decision Science at Curry’s , shared his personal experience of understanding the meaning and power of data-driven decision science through the creation and evolution of data-centric processes at Curry’s.

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Join us for free for upcoming DataHour Sessions

Analytics Vidhya

Introduction Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. But you need to brush up on your Technical skills periodically to get the latest knowledge. To upskill yourself, and expand your […]. The post Join us for free for upcoming DataHour Sessions appeared first on Analytics Vidhya.

Analytics 349
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How Artificial Intelligence Will Change Mobile Apps

KDnuggets

There are numerous ways in which Artificial Intelligence (AI) will change the way we use mobile apps. As more and more users shift towards tablet computers and various mobile platforms, developers are coming up with new ideas for improving user experience. AI holds many key factors for the future of mobile app development and could indeed prove to be a game changer on almost all fronts.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Project management: Tips, tools, best practices

CIO Business Intelligence

What is project management? Project management is a business discipline that involves applying specific processes, knowledge, skills, techniques, and tools to successfully deliver outcomes that meet project goals. Project management professionals drive, guide, and execute company-identified value-added goals by applying processes and methodologies to plan, initiate, execute, monitor, and close all activities related to a given business project in alignment with the organization’s overall strateg

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Yeshi Milner: Fighting for a More Equitable and Inclusive World With Data

Dataiku

When I started working my first analytics job after college, I thought that data would give us a complete view of our world, and shed light on truths we as humans would not have known. I was excited to learn from the data and use it to give a voice to underrepresented communities.

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Using AWS S3 with Python boto3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction AWS S3 is one of the object storage services offered by Amazon Web Services or AWS. It allows users to store and retrieve files quickly and securely from anywhere. Users can combine S3 with other services to build numerous scalable […]. The post Using AWS S3 with Python boto3 appeared first on Analytics Vidhya.

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3 Free Machine Learning Courses for Beginners

KDnuggets

Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.

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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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How security fears are driving network modernization

CIO Business Intelligence

The negative impact of legacy networks can be substantial: increased operational costs, restricted potential for digital transformation and difficulty responding to the demands of the business. NTT’s research finds that two in three organizations confirm their technical debt has accumulated, with 71% saying that low network maturity levels are negatively impacting their operational delivery and ability to meet business goals.

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Data Trends to Watch in 2023

TDAN

Your business doesn’t stay still— and neither does the data landscape. While the next 12 months will no doubt contain many surprises, twists, and turns, one thing is certain. Data will continue passing through the veins of business industries and economies. With even more channels, at greater velocities, and containing even more insights, organizations will have […].

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Simplify Data Migration with AWS DMS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction DMS is a service that makes it easy to migrate on-premise databases into the cloud with minimal or no downtime. It can even monitor the changes in the original database and apply them to the new database. DMS supports […]. The post Simplify Data Migration with AWS DMS appeared first on Analytics Vidhya.

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7 Essential Cheat Sheets for Data Engineering

KDnuggets

Learn about the data life cycle, PySpark, dbt, Kafka, BigQuery, Airflow, and Docker.

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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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Why, and when, CIOs deserve a seat at the M&A negotiating table

CIO Business Intelligence

When one company acquires another, it’s typically to enter a new market, gain market share, or obtain a new technology. In all three cases, IT systems and the data they hold are crucial to the realization of those goals. “The biggest mistake most companies make when they’re looking at deals is they tend to minimize the investments necessary to bring the organizations together and drive costs out of the IT function to get those synergies,” says Mike Macrie, CIO of toy maker Melissa and Doug, who

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Teradata VantageCloud Lake + Vcinity Technology: Taking the Management Costs out of Network Latency

Teradata

Teradata VantageCloud Lake + Vcinity is perfect for on-premises, hybrid, & multi-cloud solutions where long network latency might keep an enterprise from leveraging access to their sensitive data.

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BusinessObjects Solid for the Next Decade and Beyond

Paul Blogs on BI

This is usually the time of the year when people make predictions about the coming year. I have done this myself many times but, this year, I am going to make a prediction about the next 10 years. Here it is : “BusinessObjects will continue to thrive and remain the most solid BI reporting tool for the next 10 years and beyond”. It is not just the fact that SAP changed it’s BI and Analytics Statement of Direction in June this year and announced a 10-year plus roadmap for BusinessObjects which, by

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Top Posts November 28 – December 4: The Complete Data Engineering Study Roadmap

KDnuggets

The Complete Data Engineering Study Roadmap • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Top 10 Data Science Myths Busted • What is Chebychev’s Theorem and How Does it Apply to Data Science? • Scikit-learn for Machine Learning Cheatsheet.

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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.