Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

CIO

MAY 9, 2024

By the late 1950s with IBM’s pioneering IBM 700 series , mainframe computing revolutionized large-scale data processing, creating monumental industry advancements. Far from being obsolete, they are adaptable, offering cost-effective solutions for handling massive workloads and processing vast amounts of data.

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Artificial Inteligence Telecommunications Scalability Artificial Intelligence 246

CIO

MAY 2, 2024

A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors. These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry.

Data Center 246

Data Center Artificial Inteligence Data Sustainability 246

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. These objects thus become ‘intelligent’ to a small extent.

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Artificial Inteligence Machine Learning IoT Internet 98

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Innovation Artificial Inteligence Data Serverless 147

John Snow Labs

JULY 4, 2023

What are Medical Large Language Models (LLMs)? Medical or healthcare large language models (LLMs) are advanced AI-powered systems designed to do precisely that. How do medical large language models (LLMs) assist physicians in making critical diagnoses?

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Artificial Inteligence Healthcare Software Review Systems Review 52

AWS Machine Learning - AI

APRIL 24, 2024

In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. To increase training samples for better learning, we also used another LLM to generate feedback scores.

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Artificial Inteligence Engineering Performance Generative AI 106

InnovationM

APRIL 25, 2024

Deploying a Large Language Model (LLM) on RunPod Leveraging the prowess of RunPod for deploying Large Language Models (LLMs) unveils a realm of possibilities in distributed environments. Model Selection: Choose the specific LLM model you want to deploy. How to approach it?

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Artificial Inteligence Serverless Scalability Resources 52

CIO

DECEMBER 21, 2023

Quality and volume of data, scalability of solution, and ability to process inference effectively are key aspects to enable efficient AI solutions. The quality and volume of data that an AI system has access to greatly enhances its ability to detect and respond to potential threats while reducing false positives and false negatives.

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Artificial Inteligence Generative AI Artificial Intelligence Scalability 264

N2Growth Blog

JANUARY 29, 2024

The advent of Artificial Intelligence has disrupted multiple sectors, and the executive search industry is no different. With its immense power to decode complex data, AI is reshaping how the best search partners identify and acquire top-tier organizational talent.

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Artificial Inteligence Artificial Intelligence Recruiting Big Data 86

CIO

OCTOBER 20, 2023

With the power of real-time data and artificial intelligence (AI), new online tools accelerate, simplify, and enrich insights for better decision-making. For banks, data-driven decisions based on rich customer insight can drive personalized and engaging experiences and provide opportunities to find efficiencies and reduce costs.

Google Cloud 328

Google Cloud Artificial Inteligence Development Team Review Banking 328

Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. We present a systematic overview of the unexpected streaming behaviors together with a set of model-based and data-driven anomaly detection strategies to identify them.

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Artificial Inteligence Machine Learning Metrics Training 124

CIO

MARCH 13, 2023

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 semiconductors. Going forward, we’ll see an expansion of artificial intelligence in creating.

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Artificial Inteligence Technical Review Artificial Intelligence ChatGPT 362

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Real-time data involves a continuous flow of data in motion.

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Artificial Inteligence Strategy Data Machine Learning 290

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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Artificial Inteligence Machine Learning Engineering Data Engineering 105

CIO

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. We rely on cloud-scale technologies and proprietary data science and analytics engines built on open standards to handle massive data sets,” says Mohammed.

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Artificial Inteligence Artificial Intelligence Analysis Azure 299

O'Reilly Media - Data

JUNE 5, 2018

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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Artificial Inteligence Machine Learning Software Review Weak Development Team 160

AWS Machine Learning - AI

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality.

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Artificial Inteligence Machine Learning AWS Software Engineering 89

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

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Artificial Inteligence Generative AI Security Applications 120

TechCrunch

MARCH 30, 2023

Called Fixie , the firm, founded by former engineering heads at Apple and Google, aims to connect text-generating models similar to OpenAI’s ChatGPT to an enterprise’s data, systems and workflows. “The core of Fixie is its LLM-powered agents that can be built by anyone and run anywhere.”

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d2iq

JANUARY 18, 2022

Integration: Only a small percentage of production ML systems are model code; the rest is glue code needed to make the overall process repeatable, reliable, and resilient. Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production.

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CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer.

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Open Source Machine Learning Artificial Inteligence Generative AI 312

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

CIO

DECEMBER 19, 2023

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. To address these challenges, agencies are turning to a secure cloud fabric that can ensure the confidentiality, integrity, and availability of their data in the cloud.

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Government Artificial Inteligence Cloud Data 277

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Along the way, I’ll highlight key sections of the upcoming Strata Data conference in New York this September. Machine Learning in the enterprise".

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Machine Learning Artificial Inteligence How To Case Study 120

CIO

DECEMBER 11, 2023

Both healthcare payers and providers remain cautious about how to use this latest version of artificial intelligence, and rightfully so. You have to balance the potential benefits of generative AI with significant, important operational issues, such as ensuring patient data privacy and complying with regulatory requirements.

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Generative AI Artificial Inteligence Healthcare Artificial Intelligence 189

CIO

OCTOBER 3, 2023

However since then great strides have been made in machine learning and artificial intelligence. Another research company, Mordor Intelligence, is forecasting annual CAGR of 19.8 Skill gap: hyperautomation requires a diverse skill set that includes process analysis, data analytics, AI, RPA and more.

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Artificial Inteligence Artificial Intelligence Machine Learning Analysis 306

CIO

AUGUST 24, 2023

As applications become more “human,” the data platform must act more like human memory, too. GenAI done right: secure, scalable, and real time If generative AI is all about delivering value at unprecedented speed, this means every leader needs to bring GenAI to their data and apps yesterday. The bottom line? Chet earned his B.S.

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Generative AI Artificial Inteligence Open Source Scalability 246

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

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Artificial Inteligence Machine Learning Technical Review Software Review 103

CIO

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Today’s foundational models are jacks-of-all-trades. Previously, they’d need to code or understand Excel or a query language.

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Artificial Inteligence Enterprise Trends ChatGPT 325

CIO

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. “My Doing so will be no small feat.

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AWS Machine Learning - AI

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output.

Generative AI 115

Generative AI AWS Artificial Inteligence Artificial Intelligence 115

AWS Machine Learning - AI

APRIL 11, 2024

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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Generative AI Artificial Inteligence AWS Innovation 95

CIO

AUGUST 8, 2023

By bringing compute power closer to the point of action, edge computing allows real-time data processing, analytics, and decision-making, thereby improving the well-being and efficiency of front-line workers. Edge computing enables the implementation of intelligent safety systems that can analyze data from various sensors in real-time.

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Industry Artificial Inteligence Artificial Intelligence Machine Learning 246

CIO

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. The rise of edge computing Edge computing has emerged as a strategic paradigm shift in the world of data processing.

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Artificial Inteligence Storage Artificial Intelligence Retail 264

AWS Machine Learning - AI

APRIL 3, 2024

The key advantage is the ability to understand interactions and semantics between modalities like text, images, and audio through joint modeling. Solution overview The solution provides an implementation for building a large language model (LLM) powered search engine prototype to retrieve and recommend products based on text or image queries.

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Artificial Inteligence Serverless Engineering Generative AI 98

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

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