Analytics Vidhya

NOVEMBER 29, 2023

In a world captivated by generative AI, Pika, a startup specializing in AI-powered video creation, has secured a staggering $55 million in a recent funding round led by Lightspeed Venture Partners. This influx of capital aligns with the launch of Pika 1.0, a groundbreaking suite of videography tools designed to transform the landscape of video […] The post Pika 1.0: A New AI Model for Video Creation appeared first on Analytics Vidhya.

Modeling 337

Modeling Analytics Technology 337

KDnuggets

NOVEMBER 29, 2023

Probability is one of the foundational elements of computer science. Some bootcamps will skim over the topic, however, it is integral to your computer science knowledge.

IT 139

IT Data Science 139

Analytics Vidhya

NOVEMBER 29, 2023

In today’s fast-paced business world, effective communication is key to success. Now, Amazon leaps forward with Amazon Q, an AI chatbot designed to streamline business communication, letting companies interact, and take action with data. In this article, we explore Amazon Q’s features, benefits, and impact on business communication. The Power of Amazon Q Amazon Q […] The post Introducing Amazon Q: Introducing the Chatbot for Business Brilliance!

Interactive 323

Interactive Analytics Machine Learning 323

CIO Business Intelligence

NOVEMBER 29, 2023

Once enterprises commit to running business-critical applications in the cloud, they rarely move to another provider. One big reason: they’re often locked into their chosen provider’s ecosystem. The cost of migrating is simply too high, says Sid Nag, VP of cloud services and technology at Gartner. “But if you do your planning exercise properly, you shouldn’t have to move your applications around,” he says.

Recreation/Entertainment 124

Recreation/Entertainment Testing Strategy Risk 124

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.

Management

Analytics Vidhya

NOVEMBER 29, 2023

Introduction November has been dramatic in the AI space. It has been quite a ride from the launch of GPT stores, GPT-4-turbo, to the OpenAI fiasco. But this begs an important question: how trustworthy are closed models and the people behind them? It will not be a pleasant experience when the model you use in […] The post Exploring Open-Source Alternatives to OpenAI Models appeared first on Analytics Vidhya.

Modeling 321

Modeling Analytics IT 321

Smart Data Collective

NOVEMBER 29, 2023

Big data has led to a number of promising changes for consumers and businesses all over the world. It has led to the growth of nuanced search engines, website personalization features and many other promising benefits. This is one of the reasons that the market for big data is currently worth over $271 billion.

Management 109

Management Big Data Marketing IT 109

KDnuggets

NOVEMBER 29, 2023

This week on KDnuggets: Start learning how to build machine learning models today with these free machine learning courses • See how ChatGPT creates jaw-dropping data viz with just a few words • And much, much more!

Machine Learning 107

Machine Learning Modeling 107

Analytics Vidhya

NOVEMBER 29, 2023

In a groundbreaking announcement, Inflection AI, the creators of the popular PI AI Personal Assistant, unveiled their latest achievement. A formidable language model named Inflection-2 has not only outperformed Google’s powerful PaLM-2 but has also demonstrated superiority across various benchmarking datasets. Inflection-2 Large Language Model Inflection-2, a product of extensive research and development, has set […] The post Inflection-2 Surpasses Google’s PaLM-2: A Breakthrough in

Modeling 303

Modeling Analytics 303

CIO Business Intelligence

NOVEMBER 29, 2023

Per Scholas was founded in 1995 in the Bronx as a computer reclamation company with the goal of bridging the digital divide. To do so, the organization collected retired computers and laptops from companies, fixed them up, and redistributed them back into the community through schools and nonprofits. When CEO Plinio Ayala joined Per Scholas in 2003, he noticed there weren’t enough skilled technicians to fix the hardware the organization collected.

IT 105

IT Software Technology Cost-Benefit 105

Analytics Vidhya

NOVEMBER 29, 2023

Introduction Labeling the image, or annotating the photo, in the big picture of computer vision was challenging. Our exploration delves into the teamwork of LabelImg and Detectron, a powerful duo that combines precise annotation with efficient model building.LabelImg, which is easy to use and accurate, leads in careful annotation, laying a solid foundation for clear object detection. […] The post Annotation Mastery: Seamless Detectron Integration with LabelImg appeared first on Analytics V

Modeling 289

Modeling Analytics 289

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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?

Analytics

CIO Business Intelligence

NOVEMBER 29, 2023

By mid-2023, Walldorf-based Gerresheimer had its IT strategy revised, and a central component of this was its cloud journey, for which CIO Zafer Nalbant and his team built a hybrid environment consisting of a public cloud part based on Microsoft Azure, and a private cloud part that runs in a data center completely managed by T-Systems. And according to Nalbant, IT can freely decide and adapt which systems and applications run in which cloud environment.

IT 105

IT Data Lake Strategy IoT 105

Analytics Vidhya

NOVEMBER 29, 2023

Introduction Technology is always changing, and generative artificial intelligence is one of the most revolutionary developments in recent years. This innovative technology has seen an unheard-of boom; a Forbes analysis projects that the generative AI market will reach an astounding $200 billion (investment) by 2025. Like any new technology, generative AI is shrouded in myths […] The post Debunking Common Myths About Generative AI: A Comprehensive Exploration appeared first on Analytics Vi

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Technology Marketing Analytics Modeling 289

CIO Business Intelligence

NOVEMBER 29, 2023

If you’re skeptical about dipping your enterprise’s virtual toes into a metaverse, rightfully so. While the roots of the metaverse date back more than 70 years, the concept gained instant credibility when it landed on Gartner’s 2022 Hype Cycle for Emerging Technologies with a “Plateau of Productivity’ timeframe of “more than 10 years.” Around the same time, Forrester’s Predictions 2023: The Metaverse and NFTs tempered widespread excitement and expectations with mention of a “ metaverse winter ”

Interactive 105

Interactive Recreation/Entertainment Enterprise Advertising 105

Analytics Vidhya

NOVEMBER 29, 2023

Introduction Data science has become one of the most valuable skills in the tech market. Before the data science evolution, it would take up to 11-12 years to finish processing the data of millions of test cases. But now, it takes months, sometimes just weeks! So, how long does it take to learn data science? […] The post How Long Does It Take To Learn Data Science?

Data Science 286

Data Science IT Testing Marketing 286

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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

KDnuggets

NOVEMBER 29, 2023

The article examines the pros and cons of building an on-premise GPU machine versus using a GPU cloud service for projects involving deep learning and artificial intelligence, analyzing factors like cost, performance, operations, and scalability.

Deep Learning 100

Deep Learning Machine Learning 100

IBM Big Data Hub

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. In 2023, the IBM® Institute for Business Value (IBV) surveyed 2,500 global executives and found that best-in-class companies are reaping a 13% ROI from their AI projects—more than twice the average ROI of 5.9%.

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Unstructured Data Data-driven ROI Machine Learning 94

KDnuggets

NOVEMBER 29, 2023

From ANI to AGI and Beyond: Deciphering AI's Evolutionary Path.

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IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured. Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qu

Metrics 90

Metrics Machine Learning Risk Statistics 90

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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.

Analytics

Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. Unlocking the power of model management Machine learning has rapidly transformed the way businesses operate, but it has also introduced the need for robust model management.

Modeling 82

Modeling Machine Learning Metadata Metrics 82

IBM Big Data Hub

NOVEMBER 29, 2023

Australia pioneered water rights trading in the early 1900s, becoming a world leader in water sharing between valleys. The initiative extended throughout the states of Australia across the Murray-Darling Basin (MDB). However, findings from the water market’s inquiry of the MDB, completed by the Australian Consumer and Competition Commission (ACCC) and the Department of Climate Change, Energy, the Environment and Water (DCCEEW), highlighted a great many challenges of the system.

Forecasting 83

Forecasting Marketing Testing Reporting 83

Dataiku

NOVEMBER 29, 2023

In the not-so-distant past, businesses heavily invested in self-service analytics and desktop applications for data preparation , striving to harness the power of their data and empower their teams. Fast forward to today, and the data analytics landscape has radically transformed thanks to the meteoric rise of cloud data warehouses and cloud computing.

Analytics 59

Analytics Data Warehouse Data Analytics 59

IBM Big Data Hub

NOVEMBER 29, 2023

In the realm of urban transportation, precision is pivotal. Downer, a leading provider of integrated services in Australia and New Zealand, considers itself a guardian of the elaborate transportation matrix, and it continually seeks to enhance its operational efficiency. With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data.

Predictive Modeling 71

Predictive Modeling Data-driven Data Science Forecasting 71

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

AWS Big Data

NOVEMBER 29, 2023

This is a guest post co-written with Arun Sudhir from Eightfold AI. Eightfold is transforming the world of work by providing solutions that empower organizations to recruit and retain a diverse global workforce. Eightfold is a leader in AI products for enterprises to build on their talent’s existing skills. From Talent Acquisition to Talent Management and talent insights, Eightfold offers a single AI platform that does it all.

Metadata 100

Metadata Data Warehouse Analytics Data Analytics 100

Jet Global

NOVEMBER 29, 2023

As we roll into a new decade, you may be assessing your company’s marketing strategies: “Where can we find an edge?” you ask. May we suggest an “old reliable” that’s time-tested, impactful and, despite rumors of its demise, remains still viable. That medium is print. According to U.S. Postal Service research, print is thriving, but in a different way than in its past.

Marketing 52

Marketing Cost-Benefit Interactive Testing 52

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and ope

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

IBM Big Data Hub

NOVEMBER 29, 2023

Financial Services clients are increasingly looking to modernize their applications. This includes modernization of code development and maintenance (helping with scarce skills and allowing innovation and new technologies required by end users) as well as improvement of deployment and operations, using agile techniques and DevSecOps. As part of their modernization journey, clients want to have flexibility to determine what is the best “fit for purpose” deployment location for their a

Testing 102

Testing Dashboards Risk Data Processing 102

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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

AWS Big Data

NOVEMBER 29, 2023

Today on the AWS re:Invent keynote stage, Swami Sivasubramanian, VP of Data and AI, AWS, spoke about the beneficial relationship among data, generative AI, and humans—all working together to unleash new possibilities in efficiency and creativity. There has never been a more exciting time in modern technology. Innovation is accelerating everywhere, and the future is rife with possibility.

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Data Warehouse Data Lake Data Integration Dashboards 109

Jet Global

NOVEMBER 29, 2023

insightsoftware is thrilled to be recognized as a Niche Player in the 2023 Gartner Magic Quadrant (MQ) for Financial Close and Consolidation Solutions (FCCS). Earning a place in this MQ is a testament to our commitment to delivering the best financial close and consolidation solutions to you, our customers. For 30 years, the Magic Quadrant has been Gartner’s most-consumed type of research.

Reporting 52

Reporting Marketing Software Management 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt focuses on the transform layer of extract, load, transform (ELT) or extract, transform, load (ETL) processes across data warehouses and databases through specific engine adapters to achieve extract and load functionality.

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Data Lake Management Metrics Data Warehouse 99