Best AI Software in 2020 to Make Your Work Smarter

by May 21, 2020

AI Software

Artificial Intelligence through its omnipresence is capable of transforming various industries. AI can help develop smart systems not only for professionals but for personal use as well. Using AI one can collect data from different sources in an easier way and turn that into valuable insight. The personalization introduced by the technology in various sectors has soared the revenue and benefits of brands and customers respectively. And all of these can be brought into action using AI software.

Therefore, here is the list of top 10 artificial intelligence software that is redefining the nature of work.

 

Google Cloud Machine Learning Engine

Google’s AI Platform makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively. From data engineering to “no lock-in” flexibility, AI Platform’s integrated toolchain helps you build and run your own machine learning applications. The platform supports Kubeflow, Google’s open-source platform, which lets you build portable ML pipelines that you can run on-premises or on Google Cloud without significant code changes. And you’ll have access to cutting-edge Google AI technology like TensorFlow, TPUs, and TFX tools as you deploy your AI applications to production.

 

Azure Machine Learning Studio

Azure Machine Learning Studio accelerates the end-to-end machine learning lifecycle. It empowers developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. The platform also accelerates time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML.

It rapidly builds and deploys machine learning models using tools that meet your needs regardless of skill level. Use the no-code designer to get started or use built-in Jupyter notebooks for a code-first experience. Azure ML Studio accelerates model creation with the automated machine learning UI and access built-in feature engineering, algorithm selection, and hyper-parameter sweeping to develop highly accurate models.

 

TensorFlow

TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications.

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.
If you need more flexibility, eager execution allows for immediate iteration and intuitive debugging. For large ML training tasks, use the Distribution Strategy API for distributed training on different hardware configurations without changing the model definition.

 

IBM Watson

Watson helps you unlock the value of your data in entirely new, profound ways, giving every member of your team the power of AI. With a suite of pre-built applications and tools to build, run, and manage your AI, Watson gives you insights to predict and shape outcomes and infuse intelligence into your workflows. By freeing your teams from repetitive tasks, you can empower them to focus on more creative, higher-value work.

IBM Watson® Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment. With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud. Watson Machine Learning provides capabilities to help you deploy models built with IBM Watson Studio and open source tools, dynamically retrain models, automatically generate APIs to build AI-powered applications, manage models through integration with IBM Watson Openscale™, streamline model management and deployment end-to-end with an easy-to-use interface.

 

Deep Vision

Deep Vision helps unleash the power of computer vision for cars, robots, drones, and machines of all types. Deep Learning-powered breakthroughs are ushering in a revolution in computer vision that combines big data sets and powerful data centers. The software brings power to the edge with its unique silicon architecture and low-power design. Deep Vision has an ultra-low-power processor that is built from the ground up to run Deep Learning and other computer vision algorithms. Offering 100% programmability, its processor can support all computer vision CNNs.

Pioneered in large data centers, Deep Learning-powered computer vision is now being deployed across a variety of embedded platforms such as drones, robots, IoT smart cameras, and cars. These devices require computer vision capabilities that run at the edge, in real-time and enable long battery life. Deep Vision is meeting these needs with a completely new approach to processors and software.

 

Salesforce Einstein

Powered by advanced machine learning, deep learning, predictive analytics, natural language processing, and smart data discovery, Einstein’s models will be automatically customized for every single customer, and it will learn, self-tune, and get smarter with every interaction and an additional piece of data. Most importantly, Einstein’s intelligence will be embedded within the context of business, automatically discovering relevant insights, predicting future behavior, proactively recommending best next actions, and even automating tasks. With Einstein, the world’s #1 CRM is now the world’s smartest CRM and Salesforce is bringing intelligence to all of its clouds.

Using Salesforce Einstein, you can discover the cause of unexpected business outcomes and dig through your data whether it resides inside Salesforce or outside in third-party systems. You can learn which channels, messages, and content resonate with your customers by automatically analyzing the interactions they have with your business across all touchpoints.

 

Infosys Nia

In 2017, Infosys launched Infosys Nia, the next-generation Artificial Intelligence Platform building on the success of the Company’s first-generation AI platform, Infosys Mana, and its Robotic Process Automation (RPA) solution, AssistEdge.

Infosys Nia converges the big data/analytics, machine learning, knowledge management, and cognitive automation capabilities of Mana; end-to-end RPA capabilities of AssistEdge; advanced, high-performance and scalable machine learning capabilities of Skytree; and optical character recognition (OCR), natural language processing (NLP) capabilities and infrastructure management services. As a unified, flexible, and modular platform, Infosys Nia enables a wide set of industry and function-specific solutions and allows customers to build custom experiences to suit their business needs.

 

NVIDIA Deep Learning AI

Deep learning relies on GPU acceleration, both for training and inference. NVIDIA delivers GPU acceleration everywhere you need it—to data centers, desktops, laptops, and the world’s fastest supercomputers. If your data is in the cloud, NVIDIA GPU deep learning is available on services from Amazon, Google, IBM, Microsoft, and many others.

The world of computing is going through an incredible change. With deep learning and AI, computers are learning to write their own software.

NVIDIA DGX Systems are designed to give data scientists the most powerful tools for AI exploration that goes from your desk to the data center, and the cloud.

 

Wipro Holmes

Wipro HOLMES™, Wipro’s Artificial Intelligence (AI), and automation platform is the bridge between Foundational AI algorithm builders and Applied AI. HOLMES Platform handles all your needs from building, publishing, metering, governance to monetization of heterogenous AI solutions. The offerings of HOLMES have been successfully deployed across industry verticals and functions driving the 3E’s – Efficiency, Economics, and Experience.

The biggest challenges faced by customers in AI and Automation are what the technologies can do for them, how they can get past the adoption hurdles, and how to achieve non-linear growth in speed, scale, and agility. Therefore, Wipro’s Automation and AI portfolio extend beyond the range of solutions that the HOLMES platform offers. It provides vendor-neutral advisory services and prebuilt solution assets on ecosystem partner marketplaces. This helps to handhold customers in their digital journey, through the identification of the right business problems, defining success criteria, evaluating the right technologies, smooth implementation and adoption, risk and change management, and governance.

 

H2O.AI

H2O.ai is the open source leader in AI and machine learning with a mission to democratize AI for everyone. The company’s industry-leading enterprise-ready platforms are used by hundreds of thousands of data scientists in over 20,000 organizations globally. H2o.AI empowers every company to be an AI company in financial services, insurance, healthcare, telco, retail, pharmaceutical, and marketing and delivering real value and transforming businesses today.

H2O.AI’s approach is to be open, transparent, and push the bleeding edge. The company’s philosophy is to create a culture of makers: community, customers, partners, entrepreneurs and its own “makers gonna make”. H20.AI operates on the vision to democratize AI for everyone. Not just a select few. The company enables this with its award-winning, H2O Driverless AI, the platform that uses AI to do AI to make it easier, faster and cheaper to deliver expert data science as a force multiplier for every enterprise. The company wants everyone to explore, learn, dream, and imagine a new future.