Analytics Vidhya

MARCH 2, 2023

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

Management 370

Management Analytics IT Data Science 370

KDnuggets

MARCH 30, 2023

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

Data Science 176

Data Science Machine Learning Data Analytics Analytics 176

CIO Business Intelligence

MARCH 13, 2023

Diversity is critical to IT performance. Diverse teams perform better, hire better talent, have more engaged members, and retain workers better than those that do not focus on diversity and inclusion, according to a 2020 report from McKinsey. Despite this, women remain widely underrepresented in IT roles. And the numbers back up this assertion, often in stark ways.

Statistics 145

Statistics Reporting Management IT 145

O'Reilly on Data

MARCH 14, 2023

A couple of days ago, I was thinking about what you needed to know to use ChatGPT (or Bing/Sydney, or any similar service). It’s easy to ask it questions, but we all know that these large language models frequently generate false answers. Which raises the question: If I ask ChatGPT something, how much do I need to know to determine whether the answer is correct?

Testing 261

Testing Modeling IT 261

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

Data Collection

datapine

MARCH 6, 2023

Employee engagement refers to the level of commitment employees have to their work, their team’s goals, and their company’s mission. Engaged employees understand their purpose and impact on the organization. They don’t do just enough to get by, but instead willingly go beyond their job responsibilities to help their colleagues and the company as a whole succeed.

Data-driven 234

Data-driven Reporting Interactive Statistics 234

Smart Data Collective

MARCH 19, 2023

Many different industries are growing due to the proliferation of big data. The dropshipping industry is among them. Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany.

Predictive Analytics 128

Predictive Analytics Analytics Manufacturing Advertising 128

KDnuggets

MARCH 2, 2023

The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way.

Data Science 160

Data Science IT Machine Learning Analytics 160

CIO Business Intelligence

MARCH 27, 2023

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023. Fewer than half (44%) of data and analytics leaders say their teams are effective in providing value to their organization.

Data-driven 143

Data-driven Data Quality Strategy Reporting 143

Dataiku

MARCH 15, 2023

The release of ChatGPT by OpenAI in December 2022 has drawn an incredible amount of attention. This curiosity extends from artificial intelligence in general to the class of technologies that underpins the AI chatbot in particular. These models, called large language models (LLMs), are capable of generating text on a seemingly endless range of topics.

Modeling 126

Modeling Technology 126

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 118

Data Lake Data Processing Metadata Snapshot 118

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Modeling

Smart Data Collective

MARCH 23, 2023

Artificial intelligence is the latest trend shaping the omnichannel experience for customers in many retail outlets. One of the biggest trends pertains to personalization. The Forbes Research Council wrote an article in October citing research showing that 71% of customers now expect a personalized experience. The article makes the point that AI is key to meeting that expectation.

Marketing 119

Marketing Sales Advertising Strategy 119

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question. The keys to business success are sophisticated, intelligent security systems […] The post Applications of Machine Learning and AI in Banking and Finance in 2023 appeared first on Analyt

Machine Learning 336

Machine Learning Finance Marketing Analytics 336

KDnuggets

MARCH 21, 2023

The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

Data Science 160

Data Science Statistics Business Intelligence Data Analytics 160

CIO Business Intelligence

MARCH 13, 2023

By Ram Velaga, Senior Vice President and General Manager, Core Switching Group This article is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts. It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to

Technology 143

Technology Machine Learning Data-driven Testing 143

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Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. In this blog post, we are going to share with you how Cloudera Stream Processing ( CSP ) is integrated with Apache Iceberg and how you can use the SQL Stream

Snapshot 112

Snapshot Data Processing Metadata Management 112

Timo Elliott

MARCH 6, 2023

There has recently been a cambrian explosion of new AI opportunities, and here’s yet another example. Last year, I gave a 35 minute keynote at the Portuguese SAP User Group (GUSP) Annual Congress, covering some of the top technology trends. I just tried out summarize.tech to sum up the session, and the results are impressive! It provides both an overall summary and section-by-section details, with direct video links to any part that you might be interested in finding more about.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty ROI 111

Smart Data Collective

MARCH 23, 2023

You have probably read a lot about the major changes brought on by AI technology in recent months. Many people have called 2023 “the year of AI.” Every day we hear new stories about miraculous breakthroughs caused by ChatGPT and other AI applications. For example, ChatGPT recently The Independent said that the technology is starting to show signs that it can think like humans.

Software 114

Software Strategy Cost-Benefit Testing 114

Analytics Vidhya

MARCH 28, 2023

Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful! AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient. These tools can also help businesses save time and resources by automating repetitive tasks and providing insights into customer behavior.

Optimization 335

Optimization Analytics Marketing Analytics IT 335

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

Big Data

KDnuggets

MARCH 29, 2023

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

Data Science 160

Data Science Deep Learning Machine Learning 160

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Governance Institute defines it as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what inf

Data Governance 142

Data Governance Management Metadata Data Quality 142

Dataiku

MARCH 16, 2023

How can your organization practically and pervasively deploy innovative technology while still maintaining control? When you break it down, the answer is actually fairly simple: gaining topic literacy and choosing the right platform. Enhancing your technology stack while tapping into your preexisting knowledge base and unfettering expert talent to work on high-value projects will give your organization the flexibility and competitive edge needed to emerge ahead.

Machine Learning 105

Machine Learning Technology IT 105

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

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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.

Visualization

Smart Data Collective

MARCH 19, 2023

We have seen some massive changes with AI technology in the past year, especially in the field of marketing. While we have talked about advances in AI for years on this blog, the rest of the world is finally coming to grips with the extent of the AI revolution. This past week, a growing number of people have talked about the changes that ChatGPT 4 is brining to our lives.

Marketing 108

Marketing Optimization Data-driven Dashboards 108

Analytics Vidhya

MARCH 23, 2023

Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

Interactive 335

Interactive Machine Learning Visualization Data Science 335

KDnuggets

MARCH 28, 2023

Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.

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CIO Business Intelligence

MARCH 8, 2023

Early in her life Ricki J. Koinig saw the immense impact that technology could have on individuals and their ability to move through life. To pay for horseback riding lessons while growing up, Koinig worked in a program for children and young adults with special needs who used assistive technologies. Those early professional experiences in tech ed coupled with an opportunity to move to Europe brought her into the IT realm.

IT 131

IT Consulting Insurance Technology 131

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

Data-driven

Ontotext

MARCH 1, 2023

ChatGPT, a huge language model developed by OpenAI , has revolutionized the area of natural language generation by its ability to generate human-like text. However, like any machine learning model , it has its limitations. One of the limitations of ChatGPT is its lack of understanding of the context and background knowledge of the text it generates.

Modeling 105

Modeling Machine Learning Enterprise IT 105

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes.

Data Lake 104

Data Lake Sales Data Warehouse Snapshot 104

Smart Data Collective

MARCH 3, 2023

Business intelligence has made a huge mark on the world of business. According to Fortune Business Insights, businesses spent around $24.05 billion BI solutions in 2021. However, many workplaces are still trying to figure out how to leverage business intelligence effectively. This technology offers many potential benefits, but many companies don’t fully take advantage of the opportunities it provides.

Cost-Benefit 104

Cost-Benefit Business Intelligence Enterprise Technology 104

Analytics Vidhya

MARCH 13, 2023

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language. LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot […] The post An Introduction to Large Language Models (LLMs) appeared first on Analytics Vidhya.

Modeling 321

Modeling Deep Learning Machine Learning Analytics 321

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“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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