phData

APRIL 23, 2024

Businesses are faced with an unprecedented number of data sources that drive their day-to-day operations. To muddy the waters further, how businesses access their data is inconsistent across sources, from APIs to databases, data streams, and more. What Business Challenges Does Fivetran Solve?

Data Governance 52

Data Governance Data Pipeline Data Warehouse Cloud Data 52

IBM Journey to AI blog

APRIL 2, 2024

In today’s fast-paced digital economy, businesses are fighting to stay ahead and devise new ways to streamline operations, enhance responsiveness and work with real-time insights. Essentially, it sets an easy stage for building a strong real-time and fault-tolerant technology stack businesses once could only dream of.

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Apache Kafka Clustering SQL AI 64

Data Science Dojo

AUGUST 1, 2023

Understanding LLM chatbots Back to basics: Understanding Large Language Models LLM, standing for Large Language Model, represents an advanced language model that undergoes training on an extensive corpus of text data. These advancements indicate a higher level of versatility and practicality compared to the previous models.

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Database AI AI Natural Language Processing 195

IBM Journey to AI blog

APRIL 3, 2024

Data and AI are increasingly critical tools in how organizations are evolving their facilities management. Real-time insights infused with AI support dynamic space planning. We also explore the architectural decisions to consider so you can choose the one that best fits your organization’s needs.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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Iguazio

NOVEMBER 16, 2023

An MLOps platform enables streamlining and automating the entire ML lifecycle, from model development and training to deployment and monitoring. When it comes to scaling your MLOps operations, a high-quality, reliable and effective MLOps platform is essential for growth.

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ML ML Data Scientist Data Engineering 52

Dataconomy

MAY 25, 2023

When combined, artificial intelligence in Internet of Things opens up a realm of possibilities, enabling intelligent, autonomous systems that can analyze vast amounts of data and take actions based on their insights. These devices collect and exchange data, creating a massive ecosystem that connects the physical and digital worlds.

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Dataconomy

MAY 23, 2023

Edge computing refers to a distributed computing paradigm that brings data processing and computation closer to the edge of the network, in close proximity to the data source or end-users. In edge computing, small-scale data centers, known as edge nodes or edge devices, are deployed at the network edge.

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Dataconomy

APRIL 10, 2023

Imagine a world where machines and devices can communicate with each other in real-time, exchanging data and insights to optimize industrial processes and improve efficiency. It involves the use of sensors, embedded systems, and other hardware devices that are connected to the internet to gather and exchange data.

Internet of Things 103

Internet of Things Azure Analytics Analytics 103

ODSC - Open Data Science

JUNE 19, 2023

As the name suggests, real-time operating systems (RTOS) handle real-time applications that undertake data and event processing under a strict deadline. RTOS is important in the operation of embedded systems because of their efficient real-time performance.

Big Data 96

Big Data Big Data Artificial Intelligence Artificial Intelligence 96

AWS Machine Learning Blog

NOVEMBER 22, 2023

To build an enterprise solution, developer resources, cost, time and user-experience have to be balanced to achieve the desired business outcome. When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review.

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ODSC - Open Data Science

JULY 14, 2023

AI and Bias: How to Detect It and How to Prevent It Sandra Wachter, PhD | Professor, Technology and Regulation | Oxford Internet Institute, University of Oxford In recognition of the extensive biases and inequality that are present in training data, there has been much work done to test for bias in machine learning and AI systems.

Machine Learning 52

Machine Learning Machine Learning Apache Kafka Data Science 52

Precisely

FEBRUARY 1, 2024

“Data is a key ingredient in deeper insights, more informed decisions, and clearer execution. Advanced firms establish practices to ensure data quality, build data fabrics, and apply insights where they matter most. Data quality and contextual depth are essential elements of an effective data-driven strategy.

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Data Quality Analytics Analytics 64

AWS Machine Learning Blog

APRIL 18, 2024

It’s the AI-powered platform for work that connects people, conversations, apps, and systems together in one place. Slack worked with SageMaker JumpStart to host industry-leading third-party LLMs so that data is not shared with the infrastructure owned by third party model providers.

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Google Research AI blog

FEBRUARY 14, 2023

An undercurrent this past year has been the exploration of how large, generalist models, like PaLM , can work alongside other approaches to surface capabilities allowing robots to learn from a breadth of human knowledge and allowing people to engage with robots more naturally.

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Algorithm System Architecture Deep Learning Deep Learning 139

AWS Machine Learning Blog

NOVEMBER 8, 2023

This post explores how Amazon CodeWhisperer can help with code optimization for sustainability through increased resource efficiency. In this post, we discover how Amazon CodeWhisperer helps address these concerns and reduce the environmental footprint of your code. Therefore, AWS can help lower the workload carbon footprint up to 96%.

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The MLOps Blog

FEBRUARY 5, 2023

What comes into your mind when you hear Streaming Data? May be data generated through video streaming platforms like YouTube, but this is not the only thing which qualifies as streaming data. There are many platforms and sources that generate this kind of data. What is streaming data?

Machine Learning 73

Machine Learning Machine Learning Data Pipeline Apache Kafka 73

ODSC - Open Data Science

FEBRUARY 8, 2023

Common databases appear unable to cope with the immense increase in data volumes. Managing and analyzing these huge arrays of information in due time becomes a real challenge for marketers. This is where the BigQuery data warehouse comes into play. The BigQuery tool was designed to be the centerpiece of data analysis.

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Database Business Intelligence Business Intelligence Big Data 97

Snorkel AI

MARCH 27, 2024

At Google Cloud Next, you’ll have the opportunity to hear directly from Snorkel, Google, and AI innovators like Wayfair and Wells Fargo about how you can move AI prototypes into production by programmatically developing your data. With about 750 sessions – and more than 200 on the AI track alone – it will be a busy week!

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

MARCH 27, 2024

At Google Cloud Next, you’ll have the opportunity to hear directly from Snorkel, Google, and AI innovators like Wayfair and Wells Fargo about how you can move AI prototypes into production by programmatically developing your data. With about 750 sessions – and more than 200 on the AI track alone – it will be a busy week!

Machine Learning 52

Machine Learning Machine Learning AI AI 52

AWS Machine Learning Blog

FEBRUARY 6, 2024

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. However, we don’t cover the specifics of building the solution in this post.

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Dataconomy

MARCH 30, 2023

IoT development involves the use of tools and technologies to design, build, test, and deploy IoT devices and systems. IoT technology enables the connection and exchange of data between devices, machines, and people, leading to new and innovative business models and opportunities.

Internet of Things 91

Internet of Things Analytics Analytics Data Quality 91

Flipboard

MARCH 13, 2023

With terabytes of data generated by the product, the security analytics team focuses on building machine learning (ML) solutions to surface critical attacks and spotlight emerging threats from noise. Solution overview The following diagram illustrates the ML platform architecture.

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ML ML AWS Data Scientist 102

ODSC - Open Data Science

OCTOBER 20, 2023

Building and Deploying a Gen AI App in 20 Minutes Nick Schenone | Pre-Sales MLOps Engineer | Iguazio Building your own Generative AI application can be quite difficult. In this session, we’ll demonstrate how you can fine-tune a Gen AI model, build a Gen AI application, and deploy it in 20 minutes. Check them out below.

AI 52

AI AI Data Science Machine Learning 52

Dataconomy

AUGUST 11, 2023

Industrial IoT (IIoT) refers to the interconnection of industrial equipment and devices through the Internet, allowing data to be collected, analyzed, and acted upon in real time. The real-time nature of IIoT means that industries can now monitor and respond to changing conditions instantaneously.

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Internet of Things Machine Learning Machine Learning Analytics 91

Smart Data Collective

JUNE 20, 2022

There are several different types of cloud platforms and a variety of cloud service models. There are several different types of cloud platforms and a variety of cloud service models. In fact, 9 in 10 companies currently use the cloud in some capacity, according to a recent report from O’Reilly. Barriers to success in cloud adoption.

Data Engineering 128

Data Engineering Data Engineer Data Engineering Data Engineering 128

Dataconomy

APRIL 10, 2023

Imagine a world where machines and devices can communicate with each other in real-time, exchanging data and insights to optimize industrial processes and improve efficiency. It involves the use of sensors, embedded systems, and other hardware devices that are connected to the internet to gather and exchange data.

Internet of Things 79

Internet of Things Azure Analytics Analytics 79

Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? In this article, we will explore the essential steps involved in creating AI and the tools and techniques required to build robust and reliable AI systems. The quality and quantity of data are crucial for the success of an AI system.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

At the same time, the unstructured nature of much of this content makes it time consuming to find answers using traditional search. At the same time, the unstructured nature of much of this content makes it time consuming to find answers using traditional search.

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AWS AI AI Artificial Intelligence 96

AWS Machine Learning Blog

FEBRUARY 23, 2023

These systems require petabytes of data and thousands of compute units (vCPUs and GPUs) to train. This post covers build approaches, different functional units of ADAS, design approaches to building a modular pipeline, and the challenges of building an ADAS system.

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AWS Machine Learning Blog

JANUARY 6, 2023

Prior to building this centralized platform, TR had a legacy rules-based engine to generate renewal recommendations. The rules in this engine were predefined and written in SQL, which aside from posing a challenge to manage, also struggled to cope with the proliferation of data from TR’s various integrated data source.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Medical imaging AI researchers and developers need a scalable, enterprise framework to build, deploy, and integrate their AI applications. AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging.

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AWS AI AI ML 95

phData

DECEMBER 14, 2023

The modern-day is predominantly data-driven and not just historical but also real-time. Businesses are creating and dealing with an enormous volume of data daily. Making informed decisions and staying competitive in this ever-changing world can be achieved via efficiently accessing and processing the data.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataconomy

JUNE 9, 2023

It goes beyond traditional static analysis by providing a real-world perspective on how the code actually performs in different scenarios and environments. It entails executing the code and examining its actual execution paths, data flows, and interactions with the system or environment.

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AWS Machine Learning Blog

MAY 5, 2023

Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. Most of the time, you can accurately locate your desired images, such as searching for your next holiday getaway destination. What images can be too complex to be searchable?

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AWS ETL ML ML 101

phData

MAY 12, 2023

In today’s data-driven world, industries across the board are turning to advanced tools and technologies to gain deeper insights and improve their decision-making processes. This is particularly true in the financial services sector, where accurate, real-time data analysis can be the key to success.

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AWS Machine Learning Blog

MAY 25, 2023

This post was co-authored by Brian Curry (Founder and Head of Products at OCX Cognition) and Sandhya MN (Data Science Lead at InfoGain) OCX Cognition is a San Francisco Bay Area-based startup, offering a commercial B2B software as a service (SaaS) product called Spectrum AI.

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