Fri.Aug 11, 2023

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10 Remarkable Use Cases of AI in Manufacturing

Analytics Vidhya

Amid the rapid evolution of modern manufacturing, the infusion of artificial intelligence (AI) has ignited an unparalleled revolution. This article covers the impact of AI in manufacturing, spotlighting its exceptional use cases. From predictive maintenance thwarting costly breakdowns to personalized manufacturing tailored to individual needs, AI’s influence permeates production processes.

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What is NLP? Natural language processing explained

CIO Business Intelligence

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology. While the term originally referred to a system’s ability to read, it’s since become a colloquialism for all computational linguistics.

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Image to Image Translation with CycleGAN

Analytics Vidhya

Introduction In the realm of artificial intelligence and computer vision, CycleGAN stands as a remarkable innovation that has redefined the way we perceive and manipulate images. This cutting-edge technique has revolutionized image-to-image translation, enabling seamless transformations between domains, such as turning horses into zebras or converting summer landscapes into snowy vistas.

Analytics 270
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Shadow AI will be much worse than Shadow IT

CIO Business Intelligence

Ok, real talk, who always drives the speed limit? I’ll admit to being hasty at times and failing in this regard. There’s a saying that rules were meant to be broken, but I don’t really think that is true. They’re meant to be followed but often aren’t. It’s just that when we need to get somewhere fast and shortcuts are presented, sometimes we take them.

IT 98
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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.

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Google Introduces Project IDX: An AI-Powered Browser-Based Developer’s Haven

Analytics Vidhya

Breaking barriers and pushing the boundaries of innovation in AI, Google has unveiled its latest endeavor, Project IDX. This ambitious venture ushers in a new era of web and multiplatform app development, harnessing the power of artificial intelligence (AI) to revolutionize coding. With an array of features that promise to streamline development processes, Project IDX […] The post Google Introduces Project IDX: An AI-Powered Browser-Based Developer’s Haven appeared first on Analytics

Analytics 270
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How Ontraport reduced data processing cost by 80% with AWS Glue

AWS Big Data

This post is written in collaboration with Elijah Ball from Ontraport. Customers are implementing data and analytics workloads in the AWS Cloud to optimize cost. When implementing data processing workloads in AWS, you have the option to use technologies like Amazon EMR or serverless technologies like AWS Glue. Both options minimize the undifferentiated heavy lifting activities like managing servers, performing upgrades, and deploying security patches and allow you to focus on what is important:

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Data Scientists Need to Specialize to Survive the Tech Winter

KDnuggets

In this article, I explore the benefits of specialization for data scientists. Drawing on my own experience as a data scientist, I argue that specializing in a specific area can help you stand out in a crowded job market and provide you with more fulfilling career opportunities.

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IBM and NASA Join Forces to Create Earth Science GPT: Decoding Our Planet’s Mysteries

Analytics Vidhya

In an era where data reigns supreme, managing the staggering amount of information generated by NASA’s Earth science missions poses a colossal challenge. Enter a collaboration between IBM, HuggingFace, and NASA, culminating in the birth of an open-source geospatial foundation model. This innovation aims to empower researchers and enthusiasts alike to navigate the sea of […] The post IBM and NASA Join Forces to Create Earth Science GPT: Decoding Our Planet’s Mysteries appeared f

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What Your Phone Number’s Metadata Means for Data Privacy

Smart Data Collective

More people than ever are concerned about data privacy these days. One poll by IPSOS found that 63% of Americans state that data privacy is a major concern. We usually think about our Internet use when it comes to data privacy. However, our data can just as easily be compromised when we are using our phones as well. We have to take a number of factors into consideration to protect our data privacy through our phone use.

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Harnessing ChatGPT for Automated Data Cleaning and Preprocessing

KDnuggets

A guide to using ChatGPT for the tasks of data cleaning and preprocessing on a real-world dataset.

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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?

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MLOps and the evolution of data science

IBM Big Data Hub

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. The information can deepen our understanding of how our world works—and help create better and “smarter” products.

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How generative AI is accelerating silicon diversity

CIO Business Intelligence

As an IT leader, you probably haven’t spent a lot of time obsessing over the microprocessors powering your corporate computing hardware. Who can blame you? It’s hard to master the intricacies of silicon semiconductors let alone allow them to rent space in your head when your priorities include modernizing your organization. A chef doesn’t stop to consider the electronic systems powering her culinary tools as she’s trying to plan and execute a multi-course menu.

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Whose Responsibility Is It To Get Generative AI Right?

KDnuggets

The limitless possibilities of the technology that transcends boundaries.

IT 79
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The best of the best: Inside this year’s CSO50 Awards

CIO Business Intelligence

Providing safe and secure elections is a critical function of local governments – and has been part of a fraught national conversation. What could be more important to a democracy? Taking a proactive approach to security, the Los Angeles County Registrar-Recorder/County Clerk developed the Elections Cybersecurity Operations Center to monitor its elections infrastructure and business networks and provide early threat detection that could jeopardize election operations.

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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.

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Challenges to a Digital Value Chain for the Connected Enterprise

Dataiku

Supply chain volatility, macroeconomic, and regulatory pressures are creating challenges for most organizations. Who would have imagined a global pandemic followed by rampant inflation and raw material shortages. Or 3M exiting a $2 billion business with a 16% operating margin?

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Los Angeles IT secures the vote with open source and the cloud

CIO Business Intelligence

Vital for democracy, voting system integrity has come under increasing scrutiny of late, placing pressure on government IT leaders to ensure election systems are robust and uncompromised. Aman Bhullar, CIO of Los Angeles County Registrar-Recorder/County Clerk, has heeded the call, having led a widespread overhaul of antiquated voting infrastructure just in time for the contentious 2020 presidential election — a transformation rich in open source software to ensure other counties can benefit from

IT 98
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The importance of IT cost management in modern organizations

IBM Big Data Hub

The rise of digital transformation and the increased popularity of cloud computing helps companies deliver unique services to customers online and leads many organizations to consider themselves as technology companies. And technology budgets are rising commensurate to this new reality. IT spending is expected to increase to $4.6 trillion in 2023, an increase of 5.5% from 2022.

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Rethinking data analytics as a digital-first driver at Dow

CIO Business Intelligence

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. Beyond decision-making, accurate and relevant data analytics can provide greater insights into target markets, help improve operational efficiencies, and identify new products and service opportunities.

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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.

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12 considerations when choosing MES software

IBM Big Data Hub

Manufacturing execution systems (MES) have grown in popularity across the manufacturing industry. Implementing such solutions could be the key to a new era of productivity for your organization, but implementing new and expansive IT software can be intimidating. The right time to implement an MES depends on the specific needs and circumstances of each organization, and while there is no one-size-fits-all answer, several key indicators can suggest that it might be the appropriate time.