AI-powered tools and software solutions are helping businesses make smarter and faster decisions, reduce resource strain, and boost productivity.
AI technology offers many solutions for industries. From data analysis and trend forecasting to delivery estimation and requirements gathering; designing compiling codes intelligent testing bug fixing or programming assistance – AI has an abundance of uses in modern businesses.
Google ML Kit
Google ML Kit provides developers with a set of tools for building AI-driven apps on Firebase, Google’s mobile development platform. Users can utilize its functionality to seamlessly incorporate machine learning models into their applications by compressing and optimizing models specifically tailored for mobile devices.
ML Kit is available on both Android and iOS, designed to use machine learning technology for increased accuracy without needing extensive training data. It features both vision and natural language processing such as text recognition/translation/face detection/barcode scanning/image labeling etc.
To get started with machine learning (ML), two options exist. Either you create your own custom model, or use one of Google Cloud’s pre-trained models – with latter offering access to generic training datasets which have already been loaded into its APIs, providing more immediate training capabilities – making this an excellent choice for general-purpose applications where generic training datasets may be readily available.
ML Kit’s face detection API enables users to recognize human faces in images and video, returning information about the position, size and orientation of any detected faces along with landmark and classification information for any identified ones as well as supporting multiple facial categories – from open eyes and smiling – simultaneously.
ML Kit’s object detection capability enables you to track objects as they move over time in videos and track them over frames – ideal for tracking scenarios like finding an Android figurine in a moving scene and following it throughout each frame. You can run this detection method either on individual frames or across an entire sequence depending on your requirements; its power lies in both cases!
Use the ML Kit object detector to create video-based augmented reality experiences. This can be particularly helpful in the form of games where using your camera to track player movements, you can display different parts of an image based on their current location on-screen.
Finally, ML Kit’s on-device translation API enables your app to translate in-app text into one of 58 languages directly on user devices without uploading data to cloud servers and having it deleted once processed. According to their company this will save money as data won’t have to be uploaded before being processed – saving both time and money!
Infosys NIA
Infosys NIA is an artificial intelligence (AI) platform designed to streamline data management and automate processes within organizations. Formerly known as Infosys Mana, this AI solution gathers information related to people, work processes and legacy systems and collates it all into an autopilot knowledge base for further processing.
Infosys NIA software enables organizations to automate redundant business processes, saving both time and energy for people involved while freeing them up for more creative pursuits. In addition, Infosys NIA includes components that leverage AI to effect organizational changes.
This platform integrates big data/analytics, machine learning, knowledge management and cognitive automation capabilities with industry-specific solutions for enterprise customers from different industries and functions. The modular and scalable features on offer meet these customer demands in an ideal fashion.
Big data and analytics capabilities of InfoExtractor include predictive analysis, natural language processing, machine learning and document processing tools like InfoExtractor and machine vision.
NIA can automate complex product development processes, decreasing cycle times and increasing revenues while also helping businesses maximize return on investment for new products.
Additionally, they boast a customer genome platform that can assist in crafting targeted messaging and accurately identify upselling and cross-selling opportunities – as well as improving customer satisfaction.
This company takes great pride in creating software to meet each client’s specific business requirements, which has enabled it to attract a range of global clients.
To do so, it brings together its big data and analytics platforms, document processing systems, knowledge management solutions, artificial intelligence services and artificial intelligence into one integrated platform that companies can use to develop tailored applications according to specific business requirements – using artificial intelligence for increased productivity, simplified processes and customer satisfaction.
Infosys NIA is an end-to-end enterprise AI platform designed to facilitate AI adoption journey for businesses and IT. The platform integrates big data/analytics, document processing, knowledge management capabilities of Mana with RPA functionality from AssistEdge RPA as well as advanced machine learning from Skytree AI as well as OCR/NLP capabilities from Mana for an all-inclusive AI solution suitable for any industry and function. Infosys NIA can be deployed either on-premise or remotely to meet requirements from enterprises of any type or function.
DeepLearning4J
Deep Learning4j is an open source distributed deep learning library designed to assist companies in quickly building and deploying deep learning models in production environments. Designed for speedy deployment, ease of use and comprehensive features.
Deep learning is an advanced form of artificial intelligence that utilizes neural networks to process large volumes of data and generate predictive models, providing businesses with valuable insight from their information and helping them make more informed decisions. It has quickly become one of the go-to solutions for businesses looking for greater insight from their data sets and better decision-making abilities.
Image processing (including object classification and facial recognition), natural language processing (sentiment analysis), and audio processing (speech or emotion recognition). Many such tools exist today as Python or C ++ libraries.
DL4J boasts an active developer community and provides an intuitive API that makes getting started with deep learning straightforward. Furthermore, tutorials and examples help developers learn to utilize this library effectively.
One of the latest releases of DL4J includes several exciting new features. These include the Dl4jCNNExplorer and associated GUI Dl4j Inference Panel that enable real-time inference for CNN models in an interactive manner.
ScoreCAM is another exciting new feature, allowing you to generate a saliency map for images that your model is processing through Dl4jCNNExplorer or Inference Panel and is great for testing out new techniques.
Tensorflow, Caffe, and Theano frameworks can all be imported as pre-trained models into this environment as well as multiple data formats being compatible with it.
DeepLearning4j is an ideal option for any business that wishes to leverage deep learning, offering simple operation with a host of features on multiple platforms and convenient use. Furthermore, this software has proven itself useful as part of production environments as a highly capable predictive analytics solution across industries.
Google Assistant
Google Assistant is an intelligent virtual helper that can perform a range of tasks, from opening apps and sending messages, playing music, controlling smart devices and setting alarms, to opening apps. Available for use on Android phones as well as some smart speakers and headphones, it makes everyday life simpler.
Google Home can answer general queries using natural speech; keyboard input is also supported. Furthermore, it interacts with third-party applications and services – including Google’s own offerings as well as those from many other companies – providing answers and offering help on topics relevant to you.
One of the easiest ways to begin using Assistant is by setting up quick phrases that you can say when needing something quickly. This helps avoid using “Hey, Google” as a hotword and saves a few seconds each time you want something done.
Lens is another helpful feature, enabling you to translate signs using the camera on your phone with contextual responses – for instance pointing your phone’s camera at a concert marquee and Assistant will provide links for you to play the band’s music or purchase tickets.
Your Assistant can be easily managed within the Home app by visiting its Settings > Assistant section and making necessary changes, such as whether or not it can respond to personal queries and what languages it recognizes, as well as disabling “Hey Google” hotword and changing how it handles location.
Your Assistant can also be configured with daily routines that trigger when certain phrases or times of day are spoken aloud, so you can ensure it does things like checking weather reports or setting appointments at precisely the right moment – or sending you short daily recaps and news feeds from various sources.
