Sat.Mar 04, 2023 - Fri.Mar 10, 2023

article thumbnail

Only One Problem To Solve for Successful Data and Analytics

DataKitchen

The real problem in data analytics is that teams need to del iver insight to their customers without error put new ideas into production rapidly minimize their ‘insight manufacturing’ expenses … all at the same time As former leaders of data teams, we understand that data and analytics have three main problems: delivering insight to customers without error and rapidly putting new ideas into production while minimizing expenses.

Analytics 130
article thumbnail

4 Data-Driven Ways to Improve Employee Engagement

datapine

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Advanced NumPy: Broadcasting and Strides

Analytics Vidhya

Introduction NumPy is an open-source library in python and a must-learn if you want to enter the data science ecosystem. It is the library underpinning other important libraries such as Pandas, matplotlib, Scipy, scikit-learn, etc. One of the reasons this library is so foundational is because of its array of programming capabilities. Array programming, or […] The post Advanced NumPy: Broadcasting and Strides appeared first on Analytics Vidhya.

article thumbnail

Use Observability for Better Digital Processes

David Menninger's Analyst Perspectives

For years various types of systems have produced log files to help with monitoring, debugging and performance management. Often, this information was used in forensic analyses of why interruptions in service or other problems occurred. In many cases, log files are still used this way. But systems have grown more complicated, and many more devices are instrumented.

article thumbnail

Generative AI Deep Dive: Advancing from Proof of Concept to Production

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, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

article thumbnail

Fear not, for AI coding is here to help you!

KDnuggets

Sponsored Post Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software.

Software 137
article thumbnail

Ceiling breakers: Women IT execs shake up the status quo

CIO Business Intelligence

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

More Trending

article thumbnail

Powerful Video Summaries, Powered by AI

Timo Elliott

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.

article thumbnail

ChatGPT vs Google Bard: A Comparison of the Technical Differences

KDnuggets

The Biggest Rivalry: ChatGPT vs Google Bard! Here's a comparison of the technical differences between the two AI engines.

158
158
article thumbnail

OCI demand for AI workloads, Cerner boost Oracle’s third quarter revenue

CIO Business Intelligence

Oracle on Thursday reported third quarter total revenue of $12.4 billion, up 18% year-on-year, boosted by the demand for AI workloads in Oracle Cloud Infrastructure (OCI) and Cerner’s contribution to the topline. “So, we have a lot of business, a lot of new AI companies coming to Oracle because we’re the only ones who can run their workloads. And by the way — and we are cheaper.

Reporting 114
article thumbnail

Top 6 Amazon S3 Interview Questions

Analytics Vidhya

Introduction S3 is Amazon Web Services cloud-based object storage service (AWS). It stores and retrieves large amounts of data, including photos, movies, documents, and other files, in a durable, accessible, and scalable manner. S3 provides a simple web interface for uploading and downloading data and a powerful set of APIs for developers to integrate S3.

Analytics 299
article thumbnail

Leading the Development of Profitable and Sustainable Products

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.

article thumbnail

Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

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 102
article thumbnail

First Open Source Implementation of DeepMind’s AlphaTensor

KDnuggets

The first open-source implementation of AlphaTensor has been released and opens the door for new developments to revolutionize the computational performance of deep learning models.

article thumbnail

Enterprise IT moves forward — cautiously — with generative AI

CIO Business Intelligence

Vince Kellen understands the well-documented limitations of ChatGPT, DALL-E and other generative AI technologies — that answers may not be truthful, generated images may lack compositional integrity, and outputs may be biased — but he’s moving ahead anyway. Kellen, CIO at the University of California San Diego (UCSD), says employees are already using ChatGPT to write code as well as job descriptions.

article thumbnail

How to Classify Web Pages Using Machine Learning?

Analytics Vidhya

Introduction A web page is a document or information resource that is accessible through the World Wide Web. It is typically made up of HTML (Hypertext Markup Language), which provides the structure and content of the page, and CSS (Cascading Style Sheets), which provides the styling information for how the page should be presented to […] The post How to Classify Web Pages Using Machine Learning?

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

DataRobot and SAP Partner to Deliver Custom AI Solutions for the Enterprise

DataRobot Blog

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.

article thumbnail

Key Issues Associated with Classification Accuracy

KDnuggets

In this blog, we will unfold the key problems associated with classification accuracies, such as imbalanced classes, overfitting, and data bias, and proven ways to address those issues successfully.

article thumbnail

The CIO’s guide to smarter vendor negotiation: 10 tips

CIO Business Intelligence

In an IT marketplace marked by turbulence, inflation, and economic uncertainty, the process of contracting with vendors for technology products and services has gotten significantly more challenging for CIOs. IT leaders may find that prices are going up without an accompanying increase in benefits, with technology providers — less dependent on any one industry or geography — taking a harder line on deals, says Achint Arora, a partner in the pricing assurance practice at Everest Group.

article thumbnail

Top 6 Microsoft HDFS Interview Questions

Analytics Vidhya

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. HDInsight works seamlessly with the Hadoop ecosystem, which includes technologies like MapReduce, Hive, […] The post Top 6 Microsoft HDFS Interview Questions appeared first on Analytics V

article thumbnail

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.

article thumbnail

Dataiku Frontrunner Awards: Celebrating the Success of Users Across Industries

Dataiku

Whether it’s strengthening collaboration through data democratization, accelerating the time to realize value, or enabling organizations to develop AI capabilities that they can trust, teams and individuals across industries leverage Dataiku to harness the power of data, with results that can be truly transformative.

105
105
article thumbnail

Top Posts February 27 – March 5: ChatGPT for Data Science Cheat Sheet

KDnuggets

ChatGPT for Data Science Cheat Sheet • 5 Data Analysis Projects For Beginners • 4 Ways to Rename Pandas Columns • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • The ChatGPT Cheat Sheet

article thumbnail

Why IT communications fail to communicate

CIO Business Intelligence

One of my client’s business analysts solicited my opinion: “Is this a good specification document?” he asked. Long ago I’d learned — the hard way — the wisdom of the adage “When someone asks for advice, they’re usually looking for an accomplice.” So I answered his question with a question of my own, asking him why he had asked. “I gave this to a developer, who told me it was a bad spec.

IT 106
article thumbnail

Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

The Biggest Data Science Blogathon is now live! “Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. This 30th edition of the Data Science Blogathon is particularly very important because we are celebrating the women in […] The post Data Science Blogathon 30th Edition- Women in Data Science appeared first on Analytics Vidhya.

article thumbnail

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.

article thumbnail

Embracing Equity: Dataiku + Women in Data Science

Dataiku

As stated by the 2023 International Women’s Day campaign , “Equity isn't just a nice-to-have, it's a must-have.” Equity recognizes that each person has different circumstances and allocates the exact resources and opportunities needed to reach an equal outcome. A focus on gender equity needs to be part of every society's DNA. This begs the question: How can each one of us actively support and embrace equity within our own sphere of influence?

article thumbnail

Hydra Configs for Deep Learning Experiments

KDnuggets

This brief guide illustrates how to use the Hydra library for ML experiments, especially in the case of deep learning-related tasks, and why you need this tool to make your workflow easier.

article thumbnail

Salesforce earmarks $250 million for AI startup investment

CIO Business Intelligence

CRM giant Salesforce today said that it would commit $250 million to investments in startups focused on generative AI, even as the company warned of the dangers of the technology. The company emphasized the potential gains for application software possible through the use of AI in its initial announcement of investments in four AI-driven companies. The first, Anthropic, bills itself as an “AI safety and research company,” trying to create more predictable and steerable AI systems, without the un

article thumbnail

Campus Recruitment: A Classification Problem with Logistic Regression

Analytics Vidhya

Introduction In this project, we will be focusing on data from India. And our goal is to create a predictive model, such as Logistic Regression, etc. so that when we give the characteristics of a candidate, the model can predict whether they will recruit. The dataset revolves around the placement season of a Business School in India. The dataset has various factors on candidates, such as work experience, exam percentage, etc.

article thumbnail

How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

article thumbnail

Improve productivity by using keyboard shortcuts in Amazon Athena query editor

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and over 25 data sources, including on-premises data sources or other cloud systems using SQL or Python.

article thumbnail

GitHub CLI for Data Science Cheat Sheet

KDnuggets

The GitHub CLI is a tool that allows for interaction with the GitHub platform with the command line interface. Mastering the most-used commands will allow you to become a productive of a data science, data engineering, or machine learning engineering development team.

article thumbnail

IT leaders tackle the high price of talent

CIO Business Intelligence

Since the onset of the pandemic, IT has risen in prominence as an engine for business sustainability and growth across all industries. The subsequent demand for enterprise IT talent has led to a sharp spike in salaries CIOs must pay to staff their teams. “Demand for tech talent was up by 50% to 60% in the last two years, mainly attributable to industry-spanning hyper digitalization.

IT 105
article thumbnail

Explore the World of Data-Tech with DataHour

Analytics Vidhya

Introduction DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers. Current professionals seeking to transition into the data-tech domain or data science professionals seeking to enhance their career growth and development can also benefit from these sessions.

article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.