Sat.Nov 19, 2022 - Fri.Nov 25, 2022

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Understanding the Concepts of Teradata

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the growing social media culture and trends, the amount of data produced daily is increasing drastically. To handle this massive amount of data efficiently, Teradata is becoming an asset to firms. Teradata is ruling over firms, having a large volume of […]. The post Understanding the Concepts of Teradata appeared first on Analytics Vidhya.

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The Movement to Modernized Content Management Software

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software If you ask business leaders to name their company’s most valuable asset, most will say data. But while businesses recognize the value of data, few have the processes and tools in place to access its full potential. In our most recent Rocket survey, 46% of IT professionals indicate that at least half of their content is “dark data”— meaning it’s processed but never used.

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Challenges of Hiring Dedicated Developers for AI Projects

Smart Data Collective

AI technology is clearly changing our world for the better. One survey found that 86% of CEOs believe AI is essential to their offices. Around two-thirds of consumers believe that AI will improve safety with cars. The global market for AI is over $328 billion and that figure is growing 20% a year. However, it can only keep growing if companies invest in it and hire the best programmers.

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How to Use Graph Theory to Scout Soccer

KDnuggets

Take Soccer Analytics to the Next Level with Graph Theory: Here’s What to Know and How to Do It.

Analytics 116
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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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Cloud Technology Can Reduce Employee Turnover by Improving Communication

Smart Data Collective

All employees suffer when the tech and their teams aren’t working at their best capacity. The entire office suffers even more when skilled people leave the company. The lack of the right resources, technology, and, most importantly, communication channels could bring unwarranted stress to the organization. The biggest challenge of today is retaining employees.

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Why Farm-Fresh Data Makes for Healthier Spreadsheets

Jet Global

Is your spreadsheet eating healthy, or growing out of shape on a junk food diet? This might seem like a weird question, but much like the average person, spreadsheet performance will drop if all it consumes is unhealthy data. Untended manual processes are clogging your reporting arteries with the risk of human error and time-consuming workflows. This means far slower data extraction times and heart problems from inaccurate, outdated information slipping into your reporting.

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A Comprehensive Guide for Interview Questions on Classical NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Arxiv|Search Engine Journal Introduction As it is common knowledge that natural language processing is one of the most popular and competitive in the current global IT sector. All of the top organizations and budding startups are on the lookout for candidates with […].

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Cloud Computing Realities Part 3: Business Continuity

David Menninger's Analyst Perspectives

In my previous perspectives on cloud computing, I addressed some of the realities of cloud costs as well as hybrid and multi-cloud architectures. In the midst of the pandemic, my colleague, Mark Smith, authored a series of perspectives on considerations for business continuity in general, beginning with this look at some of the investments organizations must make to mitigate the risk of business disruptions.

Risk 260
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How Much Math Do You Need in Data Science?

KDnuggets

There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. As with just about everything in IT, a data strategy must evolve over time to keep pace with evolving technologies, customers, markets, business needs and practices, regulations, and a virtually endless number of other priorities.

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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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4 Artificial Intelligence Approaches to Watch Out For

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is the most dynamic stream in the world. Humans have always been curious about their abilities to predict, understand, act, and make decisions. Now, we can learn everything about it and create intelligent entities with this universal field of […].

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Why Big Data Is The Future Of Sales And Marketing

Smart Data Collective

Proper marketing and sales prospects play a huge role in improving the success rate of your business. The strategy can either be offline or digital. However, digital marketing has become the major focus of marketers across all industries, mainly due to how customers interact and engage with modern businesses. Seeing an opportunity and knowing how and when to take advantage of it defines the majority of where today’s marketers stand.

Big Data 132
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The Inescapable Conclusion: Machine Learning Is Not Like Your Brain

KDnuggets

The final article in this nine-part series summarizes the many reasons why Machine Learning is not like your brain - along with a few similarities.

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Leaning into Retail’s Challenges with Digital Transformation

CIO Business Intelligence

Digital transformation initiatives have picked up in the retail sector in recent years as store chains compete for brand awareness and sales in a rapidly evolving market. By 2026, retailers’ global investments in digital transformation tools are expected to reach $388 billion , growing by 18% a year. That may sound like retail leaders are all in , ready to use new technology tools to extract maximum value out of their operations; ready to embrace change and grab the future by the horns.

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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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Data Lineage- Why Are Businesses Eager to Invest?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven. Businesses and companies are using data to get some insights about the progress and future […].

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Data Analytics Solves Manufacturing Marketing Agency Challenges

Smart Data Collective

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face. One of the most significant benefits of leveraging analytics in manufacturing is with marketing optimization and automation.

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What is Chebychev’s Theorem and How Does it Apply to Data Science?

KDnuggets

Chebyshev’s Theorem applies to every data set and is heavily used by Statisticians, Data Scientists, and Machine Learning Engineers.

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5 pitfalls to avoid when partnering with startups

CIO Business Intelligence

Enterprise technology leaders are actively partnering with startups to help make their organizations more innovative and agile. Co-creating with startups can help kickstart innovation , provide CIOs with access to hard-to-find skills in emerging technologies, and round out digital transformational strategies. Their unique focus and approaches to innovation can make startups a highly advantageous partner in delivering business value in ways traditional vendors can’t offer.

Risk 128
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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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Creating and Managing DynamoDB Tables using AWS CLI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction The AWS Command Line Interface (CLI) is a centralized management tool for managing AWS services. Through CLI, users can control services manually or automate them with powerful scripts. With this one tool, it can handle multiple AWS services from the […].

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Is Artificial Intelligence Setting A New Standard For Web Design?

Smart Data Collective

Artificial intelligence is playing an important role in modern creative professions. There are a lot of reasons a growing number of companies are turning to AI technology. One poll showed that 61% of companies found that AI and machine learning were their best data investments. One of the industries that is evolving by adopting new AI tools in web design.

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Automation With A Human Touch: Balancing Agility And Standardization

Timo Elliott

Simon Jarke is the Head of Corporate Digital Business Innovation at Freudenberg, a family-owned global technology group headquartered in Germany and founded in 1849. He recently explained how the organization has taken advantage of the latest technology advances to give business people more agility and control over their processes, without sacrificing standardization and efficiency: “I think the key to success, especially in times of digital transformation, lies in the philosophy and pract

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. EA helps organizations structure IT projects and policies to achieve desired business results, to stay agile and resilient in the face of rapid change, and to stay on top of industry trends and disruptions using architecture principles and practices, a process also known as enterprise architectural

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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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Data Lineage: Case Studies of Data-Driven Businesses

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […]. The post Data Lineage: Case Studies of Data-Driven Businesses appeared first on Analytics Vidhya.

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AI Can Amplify Benefits and Temper Risks of Bitcoin Investing

Smart Data Collective

AI technology has been invaluable to the financial industry. The amount of money that fintech companies are spending on AI is projected to grow by 16.5% a year from 2022 and 2030. AI is changing the alternative financial sector as well. For example, many bitcoin investors are finding creative ways to use AI to improve their trading strategies. In fact, AI has played a key role in the growth of bitcoin popularity.

Risk 122
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10 Amazing Machine Learning Visualizations You Should Know in 2023

KDnuggets

Yellowbrick for creating machine learning plots with less code.

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Episode 4: Data is the New Currency

CIO Business Intelligence

Data is the new currency of business. We hear that constantly and it is an accurate description of the value that data provides for the successful operation of a business. Put simply, organizations with “better” data management and use it more effectively, win in the market. This blog summarizes a recent podcast that featured Graeme Thompson, CIO of Informatica.

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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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Advantages of Using Cloud Data Platform Snowflake

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The rate of data expansion in this decade is rapid. The requirement to process and store these data has also become problematic. Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […].

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Machine Learning is Invaluable for Mobile App Testing Automation

Smart Data Collective

Machine learning technology has transformed countless fields in recent years. One of the professions affected the most by advances in machine learning is mobile app development. The market for mobile artificial intelligence is projected to be worth nearly $9.7 billion within the next five years , since machine learning helps developers create powerful new apps.

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10 Most Common Data Quality Issues and How to Fix Them

KDnuggets

Ensuring data quality guarantees more data-informed decisions. Hence, this article highlights the common data quality issues and ways to overcome them.

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

Introduction. In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organizatio

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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.