DataRobot Blog

OCTOBER 18, 2022

Knowing this, we walked through a demo of DataRobot AI Cloud MLOps solution , which can manage the open-source models developed by the retailer and regularly provide metrics such as service health, data drift and changes in accuracy. Accelerating Value-Realization with Industry Specific Use Cases. Explore the DataRobot platform today!

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IBM Journey to AI blog

MAY 17, 2024

Key takeaways By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels. The technology can also provide strategic and personalized financial solutions.

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DrivenData Labs

MARCH 30, 2023

PETs Prize Challenges was to advance privacy-preserving federated learning solutions that provide end-to-end privacy and security protections while harnessing the potential of AI for overcoming significant global challenges. In Phase 2: Solution Development , blue teams developed working prototypes of their solutions.

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Smart Data Collective

NOVEMBER 29, 2021

Read this article to get to know why banks need to introduce AI-based solutions in their workflows—the faster the better. Institutions that introduce AI-powered solutions earlier than their rivals gain a significant competitive edge. Compliance and Fraud Detection. AI is revolutionizing the banking and financial sector.

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Becoming Human

MAY 19, 2023

5 Top AI Use Cases in the Logistics Industry AI solutions in transport and logistics help with the targeted tasks by accomplishing the pre-planned approaches and processing accurately and faster. Also, it enhances solutions to solve the challenges occurring in logistics companies and transportation companies. billion by 2025.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

From the earliest days, Amazon has used ML for various use cases such as book recommendations, search, and fraud detection. Similar to the rest of the industry, the advancements of accelerated hardware have allowed Amazon teams to pursue model architectures using neural networks and deep learning (DL).

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AWS Machine Learning Blog

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. All the principles of the AWS Shared Responsibility Model are applicable to generative AI solutions.

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ODSC - Open Data Science

OCTOBER 20, 2023

You’ll also learn about the latest tools in NLP, machine learning, MLOps, and more during the Solution Talks. During this talk, you’ll cover several concrete use cases for advanced time series forecasting, anomaly detection, and root cause analysis. Check them out below.

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AWS Machine Learning Blog

MAY 5, 2023

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. For example, if users want to find an architecture solution for the use case of customer verification, they will typically use a search query similar to “Architecture diagrams for customer verification.”

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Smart Data Collective

DECEMBER 21, 2020

We know that people are often stressed and keen to reach a solution quickly when submitting a claim. By carrying out fraud checks, processing the documents, and checking to confirm a claim meets regulations in minutes, businesses can provide their clients with what they want faster. Dealing with complex appeals.

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Defined.ai blog

AUGUST 10, 2023

Moreover, it can identify anomalies, aiding in fraud detection and risk management. In the following sections, we will explore how AI shapes the world of financial data analysis and address potential challenges and solutions. It can process vast amounts of data, detect patterns, and make predictions.

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Pickl AI

DECEMBER 4, 2023

Use cases for intelligence data quality Industry Use Case Impact Challenges Solutions Healthcare Patient Care Optimisation Enhances treatment plans and reduces errors Ensuring patient data accuracy. Clinical Research Acceleration Speeds up research processes and drug development Integrating diverse data sources.

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Smart Data Collective

JANUARY 14, 2022

Hence, when it comes to choosing an appropriate digital banking solution , it makes sense for banks to prioritize applications and technologies that will help them develop the following key areas: Highly Intelligent, Agile, and Adaptable Services. Luckily, many digital banking solutions are more than equipped to help them get there.

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Pickl AI

JUNE 21, 2023

In today’s digital landscape, businesses are constantly looking for innovative solutions that can help them improve their operations. AWS offers compliant and scalable solutions for healthcare organizations, allowing them to securely store, process, and analyze patient information.

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Iguazio

FEBRUARY 20, 2024

For example, applications range from creating engaging customer content to profiling wealth prospects to drafting financial reports to fraud monitoring to generating job profiles. This includes dozens of use cases across Marketing, Operations, Legal and Compliance, and Talent and Organization. See the entire list in the webinar.

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IBM Journey to AI blog

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. AI can assist surgeons by monitoring vitals and detecting potential issues during procedures.

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Data Science Dojo

JANUARY 13, 2023

Attendees also have the opportunity to meet with leading vendors and solutions providers in the data and analytics space, and network with peers in the industry. The conference is focused on the acceleration of the adoption of data, analytics and AI in order to generate decision advantages across various industries.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

Fraud detection is an important problem that has applications in financial services, social media, ecommerce, gaming, and other industries. Solution overview The following diagram describes an exemplar financial transaction network that includes different types of information.

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AWS Machine Learning Blog

MAY 7, 2024

The prevalence of virtual business meetings in the corporate world, largely accelerated by the COVID-19 pandemic, is here to stay. This post presents a solution to automatically generate a meeting summary from a recorded virtual meeting (for example, using Amazon Chime ) with several participants. AWS CDK version 2.0

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AssemblyAI

NOVEMBER 15, 2023

How to embed and integrate AI into your product roadmap The following guide examines seven best practices to follow when integrating AI into a product roadmap so you can accelerate the path to deployment. Focus on user value The first step is to look at the value AI will bring to your customers. Will it save time?

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IBM Journey to AI blog

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. AI also detects and tracks infectious diseases, such as COVID-19, tuberculosis and malaria.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Fraud detection and risk management : Generative AI can quickly scan and summarize large amounts of data to identify patterns or anomalies. No longer bound by the limitations of gathering and preparing real-world data, development cycles can be accelerated.

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Chatbots Life

APRIL 19, 2024

This way bots can detect and respond to human emotions. Moreover, Generative AI for marketing will act as a virtual collaborator, accelerating productivity. The areas are fraud detection, risk management, and customer service automation. As a result, they provide more compassionate and personalized customer support.

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Towards AI

JUNE 24, 2023

A robust ML platform offers managed solutions to easily address these aspects. else np.random.choice(states) for x in transaction_df['customer_id']]# Mark transaction as fraud if an outliertransaction_df['fraud'] = transaction_df.apply(lambda x: random.random() < 0.1

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IBM Journey to AI blog

APRIL 15, 2024

While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. These design considerations are crucial for building effective ML solutions using virtualized data on the data platform. Design considerations for virtualized data platforms 1.

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Flipboard

NOVEMBER 17, 2023

MongoDB Atlas is an integrated suite of data services that accelerate and simplify the development of data-driven applications. Solution overview The following diagram illustrates the solution architecture. In the following sections, we walk through the steps to implement this solution and its components.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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ODSC - Open Data Science

OCTOBER 9, 2023

These two are a powerful duo for organizations seeking to accelerate their data and AI journey. Azure AI services can be used to solve real-world problems, such as predictive maintenance, virtual assistants, fraud detection, and customer churn prediction.

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PyImageSearch

JANUARY 2, 2023

Many health-related startups and tech innovators have started integrating AI with their products and solutions, showing promise of improved diagnoses, reduced costs, and proper access to remote health services. COVID-19 has also accelerated the pace of transition to digital health applications, including those that integrate AI.

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Dataconomy

MAY 9, 2023

Another application of artificial intelligence in accounting is in fraud detection. AI can be used to detect fraudulent activity by analyzing financial data and identifying patterns that are indicative of fraud. This not only saves time but also reduces the risk of errors and fraud.

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DataRobot

NOVEMBER 15, 2021

Today, we announced DataRobot AI Cloud for Industries , a comprehensive solution that unites AI capabilities and best practices, integrations, and expanded partnerships for major industries. DataRobot & Palantir Foundry Demand Forecasting Solution. DataRobot AI Cloud on AWS. Find out more.

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The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., across industries and domains. Data keeps getting generated throughout the model development. Why should we look beyond Git?

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IBM Journey to AI blog

JUNE 2, 2023

With the power of AI and machine learning, financial institutions can leverage predictive analytics, anomaly detection and shared learning models to enhance system stability, detect fraud and drive superior customer-centric experiences. Each bank has unique requirements, existing technology landscapes and strategic goals.

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Precisely

JANUARY 9, 2024

That’s why they’re implementing tools and processes that support data-driven decisions in their organizations, improving outcomes and accelerating the pace of business. If you’re using data analytics for fraud detection , for example, you’ll want access to real-time data (or at least very close to real-time).

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Snorkel AI

APRIL 20, 2023

Banks invest heavily in AI or risk being left behind Accenture reports that banks can handle 2-5x as many interactions when they use AI-based solutions, and reaching those results doesn’t require any changes to headcount. Five of the top 10 US banks use Snorkel to accelerate AI development by 10-100x.

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Snorkel AI

APRIL 20, 2023

Banks invest heavily in AI or risk being left behind Accenture reports that banks can handle 2-5x as many interactions when they use AI-based solutions, and reaching those results doesn’t require any changes to headcount. Five of the top 10 US banks use Snorkel to accelerate AI development by 10-100x.

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AWS Machine Learning Blog

JANUARY 6, 2023

OpenSearch Service offers kNN search, which can enhance search in use cases such as product recommendations, fraud detection, and image, video, and some specific semantic scenarios like document and query similarity. Solution overview. Launch solution resources. Deploy the solution as a local web application.

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