AWS Machine Learning

FEBRUARY 29, 2024

We use an unstructured synthetic dataset consisting of PDF files, the page number of each ranging from 10–100 pages, simulating a clinical trial plan of a proposed new medicine including statistical analysis methods and participant consent forms. AI/ML Solutions Architect in the Global Healthcare and Life Sciences team.

APIs 115

APIs Healthcare Scripts Enterprise 115

Callminer

SEPTEMBER 1, 2020

Later on, breakout sessions led by customers, Avadyne Health , Gant Travel , and more offered some powerful case studies including an analysis from Direct Dialog’s Marvie Wright on how speech analytics helped their virtual workforce yield 10% more revenue. The show goes on.

Entertainment 182

Entertainment Analytics Contact Center Customer Service 182

Back Office Centers

JULY 24, 2020

But in the present times, we are blessed with Big Data science and technologies like data mining services. These new-age techniques can help you extract the true value of data, which can be utilized in the future. The Different Types of Data Mining Service Providers. Finance-related Data Mining.

outsourcing 40

outsourcing Finance Healthcare Big data 40

AWS Machine Learning

FEBRUARY 2, 2023

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

Calibration 75

Calibration Engineering Big data Automotive 75

AWS Machine Learning

DECEMBER 21, 2022

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases.

Scripts 74

Scripts Engineering APIs Big data 74

AWS Machine Learning

MARCH 15, 2024

However, the sharing of raw, non-sanitized sensitive information across different locations poses significant security and privacy risks, especially in regulated industries such as healthcare. Limiting the available data sources to protect privacy negatively affects result accuracy and, ultimately, the quality of patient care.

Healthcare 107

Healthcare Big data Engineering Accountability 107

Amity

JUNE 14, 2016

Treasure Data provides the first cloud service for the entire data pipeline, including collection, storage and analysis. Now businesses can get value from big data in days. BitTitan provides cloud solutions that simplify and improve IT activities for businesses, governments, healthcare providers.

Real estate 56

Real estate SaaS Government Healthcare 56

AWS Machine Learning

NOVEMBER 3, 2022

In the document enrichment phase, we perform enrichment functions on healthcare-related documents to draw valuable insights. Similarly, we can use the Amazon Comprehend Medical InferRxNorm API to identify medications and the InferSNOMEDCT API to detect medical entities within healthcare-related insurance documents. Enrichment phase.

Analytics 76

Analytics APIs Healthcare Big data 76

Call Experts

JANUARY 23, 2019

Fortunately, the latest technologies utilize artificial intelligence and big data to address customer concerns and process inefficiency. Detailed analysis of customer interests, likes and dislikes can help bridge the gaps between omnichannel efforts. Benefits of a Call Center: Healthcare and Medical Practice.

Management 53

Management outsourcing Call Center Answering services 53

CSM Magazine

JULY 3, 2017

Innovative companies have dropped traditional ways of getting more customers like price wars and incremental improvement of products in favor of investing in big data powered AI systems that can offer a personal touch, create tailor-made experiences and are safe from identity theft and cyber crime. Personal with an AI twist.

Brand ambassadors 56

Brand ambassadors Customer centricity Healthcare Advertising 56

Avaya

NOVEMBER 16, 2016

In fact, research shows that about 90% of all data in the world today was created in just the past few years (2.5 billion GB of data were being produced every day in 2012 alone!) Also, know the origination of your data and what privacy regulations you might need to take depending on the industry in which you operate.

APIs 72

APIs Transportation Enterprise Healthcare 72

AWS Machine Learning

AUGUST 3, 2023

Similar to fine-tuning using SageMaker to train and deploy a custom ML model, you can bring your own labeled data so that Amazon Rekognition can produce a custom image analysis model for you in just a few hours. Aamna Najmi is a Data Scientist with AWS Professional Services.

APIs 64

APIs Scripts Engineering Technical Support 64

SmartKarrot

JANUARY 13, 2022

AI revolutionizes the modern call center by delivering real-time feedback on customer reaction, predictive analytics to determine when intervention is required, and in-depth call data analysis to improve call matching and overall performance. Quicker advancements in healthcare. This has been possible with human AI.

Healthcare 10

Healthcare Education Automotive Big data 10

AWS Machine Learning

APRIL 21, 2023

These alarms may need additional analysis by a data scientist, or you can implement additional automation supporting an automatic retraining strategy using new ground truth data by integrating the model training and baselining pipeline with Amazon EventBridge. Sovik Kumar Nath is an AI/ML solution architect with AWS.

Metrics 75

Metrics Telecommunications Analytics Healthcare 75

Callminer

NOVEMBER 6, 2019

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests. Beautiful data visuals drive sales.

Big data 140

Big data Analytics Metrics Sales 140

AWS Machine Learning

JANUARY 26, 2024

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. Ram Vittal is a Principal ML Solutions Architect at AWS.

Best practices 124

Best practices Government Engineering Accountability 124

SmartKarrot

JANUARY 20, 2022

Various leading SaaS companies have been using data-driven culture to fuel their success. . If you do not believe me, check out this example, An article written by Walmart titled “5 Ways Walmart Uses Big Data to Help Customers.” Data works as a business asset to deliver a competitive advantage .

SaaS 10

SaaS Big data Analytics Healthcare 10

Balto

OCTOBER 17, 2023

An ICP is based on qualitative and quantitative data analysis techniques that capture real-world insights that inform you who your ideal customer might be, enabling you to direct your business resources more efficiently by prioritizing prospects. The problem is you do need this data to create your ICP.

Sales 52

Sales Healthcare Accountability Marketing 52

Balto

OCTOBER 17, 2023

An ICP is based on qualitative and quantitative data analysis techniques that capture real-world insights that inform you who your ideal customer might be, enabling you to direct your business resources more efficiently by prioritizing prospects. The problem is you do need this data to create your ICP.

Sales 52

Sales Healthcare Accountability Marketing 52

SmartKarrot

APRIL 17, 2023

Data collection: Chatbots can collect and analyze data on user behavior and preferences, providing valuable insights for businesses to improve their products and services. Better data analysis: AI chatbots can analyze communication data and provide valuable insights into customer behavior and preferences.

Chatbots 10

Chatbots Scripts Enterprise Personalization 10

AWS Machine Learning

OCTOBER 20, 2023

ML platform observability – This function helps with troubleshooting and identifying the root cause for problems in ML models through centralization of logs and providing tools for log analysis visualization. Companies in regulated industries such as financial services, healthcare, chemistry, and the private sector.

Government 103

Government Engineering Accountability Enterprise 103

AWS Machine Learning

JANUARY 30, 2023

Distributed training is a technique that allows for the parallel processing of large amounts of data across multiple machines or devices. By splitting the data and training multiple models in parallel, distributed training can significantly reduce training time and improve the performance of models on big data.

Benchmark 82

Benchmark Construction Metrics Big data 82

SmartKarrot

FEBRUARY 7, 2022

About: Dataiku is an AI-based data science platform. It provides a platform for big data analysis and all the related activities. It offers a solution to many problems related to selling execution for industries like fashion and apparel, cosmetics, electronics, healthcare, consumer goods, etc. Headquarter: Paris.

SaaS 10

SaaS Real estate B2B Enterprise 10

AWS Machine Learning

DECEMBER 6, 2023

Extractive summarization Extractive summarization is a technique used in NLP and text analysis to create a summary by extracting key sentences. Abstractive summarization Abstractive summarization is a technique used in NLP and text analysis to create a summary that goes beyond mere extraction of sentences or phrases from the source text.

Engineering 98

Engineering Healthcare Finance Big data 98