AWS Machine Learning Blog

APRIL 11, 2024

Chetan Kapoor, Director of Product Management for Amazon EC2 at AWS, was interviewed by VentureBeat at the Live from GTC studio, where he discussed AWS’s presence and highlighted key announcements at GTC. Additional resources Watch a video recap of the AWS presence at NVIDIA GTC 2024.

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DataRobot Blog

OCTOBER 18, 2022

Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. Later in the demo, the retailer also expressed the need for an easy diagnosis of performance issues, allowing him to swiftly get to the root cause upon being notified of an issue.

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DataRobot

NOVEMBER 16, 2021

As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. According to a recent study by NewVantage Partners, only 15 percent of organizations surveyed have deployed AI capabilities into widespread production. What is MLOps? Issues with Deployment.

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Precisely

MAY 30, 2024

Cost optimization : Cloud-based solutions provide significant cost savings by minimizing the need for physical infrastructure and enabling businesses to pay only for the resources they use. Development/test environments : Use the cloud to increase developer productivity, test coverage.

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Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. They are looking to engineer a proof-of-concept demo to start a company potentially. Meme of the week!

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Cambridge Intelligence

MARCH 21, 2023

There are also more advanced search options, giving you access to resources on the Cambridge Intelligence website. Use the new LabelAreaWidth API to customize your display Try the new behavior for yourself in our “Phone Calls” and “Terror” showcase demos on the KronoGraph SDK site. KronoGraph 2.3

Data Visualization 52

Data Visualization 52

DataRobot

AUGUST 27, 2021

Organizations in different industries use artificial intelligence (AI) , machine learning , and data science to uncover deep insights about their processes and procedures that help them make predictions to allocate resources and increase productivity. Request a Demo. See DataRobot in Action.

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AWS Machine Learning Blog

APRIL 16, 2024

Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on. AWS CloudFormation provides and configures those resources on your behalf, removing the risk of human error when deploying bots to new environments. Resources: # 1.

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Tableau

SEPTEMBER 7, 2023

AI is changing everything—from how we work and innovate to the products and services we create for our customers. It means giving employees the tools and resources they need to grow their data skills. Our latest product innovations make it easier for everyone to see, understand, and act on their data.

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Cambridge Intelligence

MAY 7, 2024

See the full demo here There’s also risk from within when you work with machine learning models. Improved planning and scheduling AI tools help with production planning and scheduling by processing dynamic information such as customer changes, production capacities, resource availability and order priorities.

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Data Visualization AI AI Machine Learning 59

ODSC - Open Data Science

JUNE 8, 2023

We couldn’t be more excited to announce our first group of partners for ODSC Europe 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. Check them out below. Cloudera For Cloudera, it’s all about machine learning optimization.

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IBM Journey to AI blog

MAY 17, 2024

Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security. These tools can manage content, standardize product information, and drive personalization.

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Iguazio

FEBRUARY 20, 2024

While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector. These productivity lifts are worth approximately $200B - $340B.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Text-to-image generation is a rapidly growing field of artificial intelligence with applications in a variety of areas, such as media and entertainment, gaming, ecommerce product visualization, advertising and marketing, architectural design and visualization, artistic creations, and medical imaging.

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ODSC - Open Data Science

MARCH 16, 2023

Developers are typically more hands-on in their work than other personnel, reflecting how they purchase products. Marketers should take a bottom-up approach when selling their products to software developers. The builders will show their leaders how efficient they are by providing them with access to the tools and resources they need.

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DataRobot Blog

MAY 5, 2022

Representative datasets are essential to any AI project, but current methods of building unstructured datasets are often slow and resource-intensive. DataRobot’s already market-leading AutoML, AutoTS, and MLOps products will only be able to drive more value after fully unlocking the power of data-agnostic AI. Request a demo.

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Data Science 101

AUGUST 30, 2023

And I use Glitch often for demos and proofs of concept. It’s still popular, but, generally, not in production. Then use whatever makes you feel productive. What are your favorite resources for frontend dev? I prefer Vue over React because I’m not a fan of reading JSX, but that doesn’t mean I don’t like React.

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Towards AI

FEBRUARY 2, 2024

Create Gradio Interface gr.close_all()demo = gr.Interface( fn=summarize, inputs=[gr.Textbox(label="Text to summarize", lines=6)], outputs=[gr.Textbox(label="Result", lines=3)], title="Text Summarization with DistilBART-CNN", description="Summarize text using the `sshleifer/distilbart-cnn-12-6` model!

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DataRobot Blog

JUNE 1, 2022

Through a series of virtual keynotes, technical sessions, and educational resources, learn about innovations for the next decade of AI, helping you deliver projects that generate the most powerful business results while ensuring your AI solutions are enterprise ready—secure, governed, scalable, and trusted.

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DataRobot Blog

SEPTEMBER 1, 2022

For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish. But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet our business needs, and unlock additional resources for financial sustainability. .

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AWS Machine Learning Blog

MARCH 7, 2024

By using the Step Functions optimized integration with Amazon Bedrock, Distributed Map, and the Titan Image Generator G1 model, the solution efficiently replaces the backgrounds of images in parallel, enhancing productivity and scalability. To deploy the solution, refer to the instructions in the GitHub repository.

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Towards AI

JANUARY 4, 2024

At first, people were excited by its impressive performance and flashy demo. The demo exaggerated what Gemini could do, and comparisons with existing AI showed it might not be as groundbreaking as thought. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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Snorkel AI

JANUARY 30, 2023

Enterprises generally require a high rate of accuracy to deploy new classification or extraction tools into production, and the results of our first question show that respondents aren’t sure FMs are ready to clear that bar. Deploying a new resource doesn’t necessarily mean that the organization will get value out of it.

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Snorkel AI

JANUARY 30, 2023

Enterprises generally require a high rate of accuracy to deploy new classification or extraction tools into production, and the results of our first question show that respondents aren’t sure FMs are ready to clear that bar. Deploying a new resource doesn’t necessarily mean that the organization will get value out of it.

Artificial Intelligence 52

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Towards AI

JULY 21, 2023

GPT-3 hype is cool but needs fine-tuning to be anywhere near production-ready. Where are those commonsense reasoning demos? Research Work on methods that address the challenges of low-resource languages. Demo: [link] PyKEEN: Knowledge Graph Embeddings Library This new graph library comes packed with models and datasets.

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DataRobot Blog

JULY 27, 2022

We combined the resources and expertise of DataRobot MLOps and Algorithmia to achieve the best results. The Demo: Autoscaling with MLOps. The only thing you need to do is to call the API endpoint with the curl command returned at the end of the notebook, and you’re ready to use this in production.

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IBM Journey to AI blog

APRIL 26, 2023

Scale-up vs. Scale-out Infrastructure scalability handles the changing needs of an application by statically adding or removing resources to meet changing application demands, as needed. Scale-up is done by adding more resources to an existing system to reach a desired state of performance. What is scale-up (or vertical scaling)?

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Towards AI

JANUARY 4, 2024

At first, people were excited by its impressive performance and flashy demo. The demo exaggerated what Gemini could do, and comparisons with existing AI showed it might not be as groundbreaking as thought. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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AI AI Artificial Intelligence Artificial Intelligence 92

ODSC - Open Data Science

APRIL 20, 2023

Much can be accomplished at the ODSC East AI Expo and Demo Hall , from connecting with partner representatives to getting caught up on the latest developments in AI applications. You’ll also have the chance to see how our partners’ products and services work in the real world.

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IBM Journey to AI blog

MARCH 4, 2024

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. times higher ROI.

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Towards AI

APRIL 25, 2024

We are also close to releasing a few amazing resources and need your help in the poll to know what you want to learn more about. They are looking for someone with coding skills to help put together some demos. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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phData

JUNE 27, 2023

For Snowflake consumers, this means they can securely install and run cutting-edge products inside their Snowflake account in a way that protects the provider’s proprietary IP. If you are at Snowflake Summit 2023, stop by booth 1530 to visit with our experts and get a deeper look with a short demo.

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DataRobot Blog

AUGUST 18, 2022

Despite these potential returns, 96% of retailers find it difficult to build effective AI models, and 90% report trouble moving models into production 4. Many manufacturers and retailers apply AI to their supply chain, addressing three major challenges: market demand, product and supply management, and operational efficiencies.

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AWS Machine Learning Blog

APRIL 5, 2023

You can use CLIP to encode your products’ images or description into embeddings , and then store them into an OpenSearch Service k-NN index. Then your customers can query the index to retrieve products that they’re interested in. Generate embeddings of product images using a SageMaker batch transform job.

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Tableau

SEPTEMBER 7, 2023

AI is changing everything—from how we work and innovate to the products and services we create for our customers. It means giving employees the tools and resources they need to grow their data skills. Our latest product innovations make it easier for everyone to see, understand, and act on their data.

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Precisely

JULY 20, 2023

Today we’re going to focus on Automate Studio and share video demos that show you the benefits of automation in action through common use cases. Use case and demo #1: automating customer master updates How can automating seemingly simple SAP master data processes lead to big results for your business? Let’s dive in.

Data Quality 40

Data Quality 40

IBM Journey to AI blog

JULY 5, 2023

You can scale your cloud resources up or down to meet demand, and costs will follow. Cloud optimization helps reduce waste and avoid overspending by identifying unused resources and neglected tools. How will we provision our cloud resources and monitor and control spending over time? It’s not only about getting costs down.

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