May, 2022

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Modin: Expedite Your Pandas Code with Single Change

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data. However, if we are working on a larger data, pandas takes too much time for data preprocessing. The […]. The post Modin: Expedite Your Pandas Code with Single Change appeared first on Analytics Vidhya.

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13 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business – Fast

datapine

“By visualizing information, we turn it into a landscape that you can explore with your eyes. A sort of information map. And when you’re lost in information, an information map is kind of useful.” – David McCandless. Did you know? 90% of the information transmitted to the brain is visual. Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential.

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The Complete Collection of Data Science Books – Part 2

KDnuggets

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

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DataKitchen In The The insideBIGDATA IMPACT 50 List

DataKitchen

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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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6 key challenges of complex cloud environments — and how to manage them

CIO Business Intelligence

The dramatic shift to cloud services over the past few years has given organizations unprecedented flexibility and scalability, enabling them to forge ahead with digital transformation efforts. For many, it has also led to intermingled, complex strategies that threaten to take away some of the luster of the cloud. Enterprises don’t typically deploy one cloud service and call it a day.

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6 Ways Data Analytics Can Improve Targeting with LinkedIn Ads

Smart Data Collective

Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. This is especially true for companies using digital marketing practices, such as social media. LinkedIn is one of the platforms that helps people use big data to facilitate online marketing. You can use their sophisticated analytics dashboard to improve your marketing strategies.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

Table of Contents. 1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. Everywhere you turn these days, “the cloud” is being talked about. It’s a hot topic, and as technologies continue to evolve at a rapid pace, the scope of the cloud continues to expand. Yes, this ambiguous term seems to encompass almost everything about us.

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Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

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Why DBAs Must Automate to Survive

TDAN

You might think the title of this article is some­what controversial, but you should wait until you’ve read to the end to render judgment. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let’s examine several of these trends. Data Growth But No DBA […].

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What’s next for digital transformation?

CIO Business Intelligence

Digital transformation isn’t new. Indeed, it has been on the CIO’s agenda for at least 35 years. I assisted in designing and stage-managing my first symposium on digital transformation in 1987. The keynote speakers were the CEO at the emerging technology supplier and the Chairman/CEO at one of the world’s largest and most technologically sophisticated financial institutions.

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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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8 Data-Driven Strategies to Improve Customer Engagement

Smart Data Collective

Data-savvy companies are constantly exploring new ways to utilize big data to solve various challenges they encounter. A growing number of companies are using data analytics technology to improve customer engagement. Werner H Kunz of the University of Massachusetts Boston and some of his colleagues addressed this in their paper Customer Engagement in a Big Data World.

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How to Approach CNN Architecture from Scratch?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.

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How to Become a Machine Learning Engineer

KDnuggets

A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

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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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Zen and the Art of Data Maintenance: All Data is Suffering (Part 1)

TDAN

Our reactions to the data we receive can cause a great deal of suffering. For example, there was a hospital with an outstanding reputation for being trusted at a deep level by many families. They used data to alert people about various medical actions that they recommended. One such alert was that when a person […].

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Top 10 AI graduate degree programs

CIO Business Intelligence

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

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How AI Can Supercharge Your Ransomware Defense In 2022?

Smart Data Collective

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.

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Machine Learning Approach to Forecast Cars’ Demand

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].

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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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What I Learned At Gartner Data & Analytics 2022

Timo Elliott

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business.

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The Definitive Guide To Switching Your Career Into Data Science

KDnuggets

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

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Optimizing Hive on Tez Performance

Cloudera

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in product

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Top 8 predictive analytics tools compared

CIO Business Intelligence

Do you want to know what the future may bring? Predictive analysis tools have an answer. Are they right? Sometimes. But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting.

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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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Impressive Ways that AI Improves Business Analytics Insights

Smart Data Collective

Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.

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Use of Date and Time Functions in SQL Server

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to […]. The post Use of Date and Time Functions in SQL Server appeared first on Analytics Vidhya.

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What I Learned from Executing Data Quality Projects

TDAN

Getting to great data quality need not be a blood sport! But there must be a method to the madness, and you need to be persistent and properly involve relevant stakeholders to achieve long lasting improvements. This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].

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The Complete Collection of Data Science Books – Part 1

KDnuggets

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Scaling Supply Chain AI to Offer Predictive Shipment Visibility

Dataiku

This blog is a guest post from our friends at Shippeo. They’re a global leader and European specialist in real-time transportation visibility, helping major shippers and logistics service providers leverage transportation to deliver exceptional customer service and achieve operational excellence.

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IT spending growth slows, as remote work proliferates

CIO Business Intelligence

Overall IT spending growth will slow slightly in the second quarter of this year, even as tech hiring hits record levels, according to a new survey of IT decision-makers released by Enterprise Technology Research (ETR). The latest iteration of ETR’s Technology Spending Intentions Survey (TSIS), which is issued quarterly, said that hiring demand for IT workers is at the highest levels ever reported.

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Data Activation for Beginners: Everything You Need to Know

Smart Data Collective

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?

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Reversing the Video Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system. In this application, we will also have […]. The post Reversing the Video Using Computer Vision appeared first on Analytics Vidhya.

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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.