3AG Systems

DECEMBER 8, 2022

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.

Data Science 40

Data Science Experimentation Machine Learning Big Data 40

Analytics Vidhya

DECEMBER 4, 2022

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.

Machine Learning 374

Machine Learning Data Science Publishing Analytics 374

TDAN

DECEMBER 6, 2022

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 […].

Reporting 69

Reporting Management Data Quality IT 69

David Menninger's Analyst Perspectives

DECEMBER 7, 2022

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 262

Analytics Business Intelligence Optimization IT 262

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KDnuggets

DECEMBER 9, 2022

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

Data Science 160

Data Science Modeling IT 160

Analytics Vidhya

DECEMBER 4, 2022

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.

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Modeling Risk Management Risk Management 395

DataRobot Blog

DECEMBER 6, 2022

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.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

KDnuggets

DECEMBER 8, 2022

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

Machine Learning 160

Machine Learning 160

Analytics Vidhya

DECEMBER 4, 2022

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.

Predictive Modeling 372

Predictive Modeling Data Science Publishing Modeling 372

CIO Business Intelligence

DECEMBER 8, 2022

Here’s a proposition to consider: among the ranks of large enterprises, commercial success increasingly relies on digital transformation. In turn, digital transformation relies on modernized enterprise networks that deliver flexibility, performance and availability from the edge to the cloud. Intuitively, this hypothesis makes a lot of sense. In many enterprises, it’s also increasingly becoming the subject of painstaking debate.

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Digital Transformation Risk Reporting Cost-Benefit 145

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Smart Data Collective

DECEMBER 6, 2022

In today’s digital world, businesses need to be able to access and analyze their data quickly and efficiently. Streamlining business data is an important part of achieving maximum efficiency. By streamlining your business data, you can save money and increase productivity with less overhead. Whether you’re running a small business or a large-scale multinational company, your data is an important part of your daily operations.

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Key Performance Indicator Visualization Dashboards Measurement 139

KDnuggets

DECEMBER 6, 2022

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

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Analytics Vidhya

DECEMBER 3, 2022

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 372

IT Data Science Publishing Technology 372

CIO Business Intelligence

DECEMBER 8, 2022

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.

Digital Transformation 140

Digital Transformation Modeling Technology Strategy 140

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Data-driven

DataKitchen

DECEMBER 9, 2022

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.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

KDnuggets

DECEMBER 9, 2022

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 158

Analytics Data Analytics Data Science 158

Analytics Vidhya

DECEMBER 7, 2022

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 367

Analytics Data Science 367

CIO Business Intelligence

DECEMBER 7, 2022

As companies migrate to the cloud, many providers are serving up industry clouds—cloud services that offer data models and workflows that meet the basic needs of companies in particular industries like banking, healthcare, and manufacturing. By taking care of table stakes requirements, these specialized clouds are saving companies time and money. And perhaps more importantly, they’re freeing up many industry leaders to innovate new services for customers.

IT 138

IT Digital Transformation Manufacturing Marketing 138

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

DataKitchen

DECEMBER 9, 2022

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

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Reporting Marketing Software Testing 130

KDnuggets

DECEMBER 6, 2022

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

Data Science 155

Data Science 155

Analytics Vidhya

DECEMBER 5, 2022

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.

Data Science 362

Data Science Publishing Analytics IT 362

CIO Business Intelligence

DECEMBER 5, 2022

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

Management 134

Management Cost-Benefit Key Performance Indicator Software 134

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

DataKitchen

DECEMBER 6, 2022

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.

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Software Marketing Data Lake Testing 130

KDnuggets

DECEMBER 5, 2022

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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Analytics Vidhya

DECEMBER 5, 2022

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.

Data Science 361

Data Science Publishing Analytics IT 361

CIO Business Intelligence

DECEMBER 7, 2022

Budget planning during uncertain economic times is never CIOs’ favorite activity. But the next eighteen months aren’t shaping up to be as challenging as some may fear. For the most part, budgets are holding steady or growing in the single digits, with continued investments in security, analytics, and the cloud, among other areas. Gartner predicts 2023 IT spending will grow 5.1% compared to this year, says John-David Lovelock, distinguished VP analyst at the firm.

IT 132

IT Insurance Cost-Benefit Risk Management 132

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Smart Data Collective

DECEMBER 4, 2022

We have previously emphasized the huge benefits that big data plays in the financial industry. The global financial analytics market is projected to be worth $17.1 billion by 2028. Most of the discussions about the role of big data in finance center around actuarial models in the insurance sector and using data analytics and machine learning for stock market predictions.

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Big Data Finance Insurance Machine Learning 127

KDnuggets

DECEMBER 7, 2022

Find out where you need to be to start your Machine Learning journey and what you need to do to succeed in the field.

Machine Learning 139

Machine Learning 139

Cloudera

DECEMBER 9, 2022

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Working with these organizations has taught us a lot about the needs of developers and administrators when it comes to developing new dataflows and supporting them in mission-critical production environments. .

Testing 105

Testing Cost-Benefit Interactive Visualization 105

CIO Business Intelligence

DECEMBER 8, 2022

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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Cost-Benefit Digital Transformation Strategy Risk 128

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven