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Democratizing AI for Business Applications, Microsoft Release AI Builder Preview
At the recent Business Applications Summit in Atlanta, Microsoft announced a new Artificial Intelligence (AI) service for the Power Platform called AI Builder. The new service brings AI capabilities to low code application and workflow services: Microsoft PowerApps and Microsoft Flow which run on top of the Common Data Service (CDS), an enterprise-grade datastore.
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Los Angeles CTO Roundtable about AI and Data
The recent "Leaders in Data CTO Roundtable" in Los Angeles included discussions about an artificial intelligence (AI) framework/platform for business, data in the next five years, data software stacks, and acquiring data talent.
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Amazon Announces New Cross-Skill Conversational Model for Alexa
At Amazon's re:MARS AI conference in Las Vegas, Alexa vice president Rohit Prasad demonstrated a new conversational model for the Alexa smart assistant. In this new model, Alexa can seamlessly transition between skills and remember the context of the conversation to resolve ambiguous references.
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Teaching Machines to Understand Emotions with Sentiment Analysis
Sentiment analysis teaches computers to recognise the human emotions present in text. The fundamental trade-off in sentiment analysis is between simplicity and accuracy. Approaches vary from using a list of words associated with emotions, to deep learning with techniques like word embeddings, neural networks and attention mechanisms.
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Splunk Releases Splunk Connected Experiences and Splunk Business Flow
Data analytics organisation, Splunk, recently released Splunk Connected Experiences which delivers insights through augmented reality (AR), mobile devices like Apple TV, and mobile applications. They also released Splunk Business Flow which enables business operations professionals to gain insights across their customer journeys and business processes.
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Google's Cloud TPU V2 and V3 Pods Are Now Publicly Available in Beta
Recently, Google announced that its second- and third-generation Cloud Tensor Processing Units (TPU) Pods — its scalable cloud-based supercomputers with up to 1,000 of its custom TPU — are now publicly available in beta. With these Pods, Machine Learning (ML) researchers, engineers, and data scientists can speed up the time needed to train and deploy machine learning models.
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Microsoft Launches Several New Machine Learning Services and Extends Its Cognitive Services
Before its Build Developer Conference, Microsoft released several new Machine Learning services and Cognitive Services updates, ranging from no-code tools to hosted notebooks, with several new APIs and other services in-between.
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Making Robots More Intelligent, Microsoft Releases Autonomous Systems Platform
At the recent Build conference in Seattle, Microsoft announced, in limited preview, an end-to-end toolchain to help developers and organizations build autonomous systems for their industries. The platform includes machine teaching tools and simulation technologies that enable intelligent robotic systems to complete tasks like running autonomous forklifts and robotic inspection platforms.
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Amazon Updates SageMaker Ground Truth with New Labeling Features, Vendor Support and Availability
Amazon announced that SageMaker Ground Truth now offers simplified labeling workflows, support for additional labeling vendors, and is available in the Asia Pacific (Sydney) AWS region – bringing the total to six supported AWS regions in the Americas, Europe, and Asia.
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Google Launches AI Platform - an End-to-End Platform to Build, Run, and Manage ML Projects
Google has recently launched AI Platform, an end-to-end platform to build, test, and deploy machine learning models. It brings together a host of products and services to help businesses solve complex challenges using AI in a way that is easier and collaborative.
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Salesforce Adds Intelligence to its Einstein Services Offering
In a recent press release, Salesforce announced additions to their Einstein platform that target bringing AI solutions to Salesforce developers and admins using a low code, point and click configuration-based solution. The recent additions to the platform include Einstein Translation and Einstein Optical Character Recognition (OCR).
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AWS Releases Enhancements to AI Services for NLP, Speech-to-Text Transcription, and Image Detection
Amazon Web Services (AWS) released new features for three of its AI services: Amazon Comprehend, Amazon Rekognition, and Amazon Transcribe.
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NSFW.js: Machine Learning Applied to Indecent Content Detection
With the beta-released NSFW.js, developers can now include in their applications a client-side filter for indecent content. NSFW.js classifies images into one of five categories: Drawing, Hentai, Neutral, Porn, Sexy. Under some benchmarks, NSFW categorizes images with a 90% accuracy rate.
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Bringing Intelligence to Enterprise Content Management, Google Releases Document Understanding AI
At the recent Google Cloud Next Conference, Google announced a new beta machine learning service, called Document Understanding AI. The service targets Enterprise Content Management (ECM) workloads by allowing customers to organize, classify and extract key value pairs from unstructured content, in the enterprise, using Artificial Intelligence (AI) and Machine Learning (ML).
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Convolutional Neural Network Deep Learning Techniques for Crowd Counting
Deep learning techniques like Convolutional Neural Networks (CNNs) are a better choice for crowd-counting use cases, compared to traditional detection or regression based models. Ganes Kesari, co-founder and head of analytics at Gramener, spoke last week at the AnacondaCon 2019 Conference on how to count things using artificial intelligence (AI) models.