IT Education
A value-oriented Artificial Intelligence-as-a-Service business plan using integrated tools and services
Our expert team uses artificial intelligence techniques in such a way that it completely changes the way you do business thereby providing you the desired results. AI joins the dots from disparate data sources and discovers interesting patterns that humans can miss. Consistent variations, clustering of data points, and dependencies can highlight interesting stories from static data resources. Using data, AI-enabled information mining generates and verifies hypotheses, and deduces information. Information mining forms the basis of predictive analytics and machine learning. We partner with organizations to solve business challenges with cutting-edge Artificial Intelligence services that improve speed, enhance precision, and optimize customer experiences.
For instance, the insights provided by AI can help more efficient processes, boost productivity and minimize costs. Through these services, AI companies transform AI technology into a cloud-based AIaaS solution that allows you to meet your business goals without requiring a large initial investment. These AI software platforms are developed by data scientists, analysts, and/or engineers based on the services based on artificial intelligence analysis of business challenges and goals. AIaaS functions similarly to any other cloud-based service, offering AI products and solutions through the “as a service” model. Like Software as a Service (SaaS) businesses that offer cloud software solutions, AIaaS providers offer cloud-based AI solutions. Identify new business opportunities and eliminate threats by analyzing what’s coming in advance.
ServiceNow
By using such AI developer services, the barrier of integrating AIaaS into existing software products is reduced, enabling any developer to make use of AI. The McKinsey Global Institute predicts that the utilization of AI could yield an additional worldwide economic output of USD 13 trillion by 2030 (Bughin et al. 2018). Organizations increasingly employ AI to perform complex tasks that previously only humans were thought to be capable of performing. In some narrow application domains, AI now even surpasses the performance of humans.
Certain services may not be available to attest clients under the rules and regulations of public accounting. Just like AI, though, there’s a lot of hype around ML versus what it actually is. Today, ML can do a lot of things, but it isn’t some pie in the sky solution that will solve all your organizational problems.
Google Cloud ML
IBM offers a suite of AI-based solutions centered around its AI assistant IBM Watson. IBM Watson Orchestrate specializes in automating tasks and workflows, so teams can redirect resources toward more pressing matters and boost their production. Meanwhile, IBM Watson Code Assistant can offer recommendations to developers, speeding up the coding process and reducing errors. Using machine learning software, you can examine applications based on specific parameters. AI drive systems can scan job candidates’ profiles, and resumes to provide recruiters an understanding of the talent pool they must choose from. AIaaS can help organizations save time and resources on building and maintaining their own AI infrastructure, while also enabling them to leverage the latest AI technologies to enhance their products and services.
Its advanced visual search and image recognition solutions help businesses in e-commerce, m-commerce, and online advertising by recommending visually similar items to online shoppers. It has been promoting its CUDA GPU programming language for nearly two decades. AI developers have come to see the value in the GPU’s massively parallel processing design and embraced Nvidia GPUs for machine learning and artificial intelligence. A fairly new startup in the AI copywriting space, Copy.ai uses basic inputs from users to generate marketing copy in seconds. It can create copy for a variety of different formats, including article outlines, meta descriptions, digital ads, social media content, and sales copy.
AI in healthcare is changing patient care in major ways, such as using AI to increase the scale and efficiency of medical imaging to analyze and diagnose patients. Arguably the top vendor in the robotic process automation sector, UiPath makes an enterprise software platform that includes tools for robot licensing, provisioning, scheduling, monitoring, and alerting. Its robots do the mundane work of communication between legacy apps, so developers can focus on new AI-oriented apps. In a world run by data, in many cases, someone, or some system, has to prep that data so it’s usable. Tamr combines machine learning and human tech staff to help customers optimize and integrate the highest value datasets into operations. Referred to as an enterprise-scale data unification company, Tamr enables cloud-native, on-premise, or hybrid scenarios — truly a good fit for today’s data-driven, multicloud world.
The company is based in London and recruits heavily from Oxford and Cambridge, which are leading universities in Europe for AI and ML research. Iris.ai helps researchers sort through cross-disciplinary research to find relevant information, and as it is used more often, the tool learns how to return better results. Since its launch, many people have tried the service with some becoming regular users. Its Iris.ai release includes the Focus tool, an intelligent mechanism to refine and collate a reading list of research literature, cutting out a huge amount of manual effort. Upstart, based in San Mateo, California, is an AI lending company that partners with banks and credit unions to offer more affordable credit.
- Predictive analytics in route planning is the intelligent evaluation by a machine of a number of road usage parameters such as congestion level, road restrictions, traffic patterns, consumer preferences, and so on.
- Get insights and predictions that can reshape your business via AI-based analysis.
- Companies can use it to automate processes, as the AI-based software classifies and extracts information from documents and allows for tailored workflows.
- So instead of self-driving cars, Nauto is an AI model designed to improve the safety of commercial fleets and autonomous fleets.
- Such a framework allows customer service employees to focus on critical and complicated tasks without answering each customer.
- Machine learning is useful for the processing and analysis of high volumes of data assets, otherwise known as big data.