The BFSI industry is one of the leading sectors, where AI platform is deployed on a large scale. AI platform in the financial sector is primarily used to automate repetitive tasks, reduce cost, manage risk, improve accuracy, and so on. Whereas, advanced algorithms with intelligent capabilities are used in the insurance sector to understand insurability of the customers. Moreover, to reduce human efforts, Artificial Intelligence platforms are widely used in the BFSI sector. For instance, chatbots are intelligent platforms which are used to enhance customer experience. These are deployed by various banks such as JPMorgan Chase, Capital One, MasterCard, and American Express to automate front-end and back-end processes. The BFSI sector is also deploying AI, ML, and predictive models to analyze a large amount of data generated through customer transactions. Another, the application area of AI technology in the banking sector is sentiment analysis, which helps to understand customer perception and opinion to make business-related decisions. For instance, ICICI bank is leveraging AI capabilities such as NLP in the process of sentiment analysis.

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In Artificial Intelligence Platform

  1. MICROSOFT Azure AI
    2 Reviews
    3.6
  2. GOOGLE Cloud Machine Learning Engine
    2 Reviews
    3.5
  3. IBM Watson
    4 Reviews
    3.3

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Artificial Intelligence Platform in BFSI Quadrant

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KEY BUYING CRITERIA

Below criteria are most commonly used for comparing Artificial Intelligence Platform tools.
Product Maturity
Company Maturity
Most IMPORTANT
0.0
0.0
0.0
Product Features and Functionality
3.60
3.60
3.25
Focus on Product Innovation
2.50
3.25
4.00
Breadth and Depth of Product Offering
2.85
2.50
2.65
Product Branding
4.60
3.70
3.50
LEAST IMPORTANT LESS IMPORTANT

TOP VENDORS

  • Microsoft offers AI platform services and tools to help developers in creating AI-enabled models. Moreover, it is said to be heavily investing in services, tools, and platforms to help bring AI and data-driven intelligence into every application. Apart from that, the company launched new tools and services, such as Azure data and cloud services, to help developers in modernizing applications. Additionally, the company’s focus areas for investment include intelligent edge and intelligent cloud. It also opened the Microsoft Research AI lab, which focuses on solving hurdles in the AI space. The technologies involved in the research are ML, NLP, decision-making, and visual perception.

    BUYERS
    VENDORS
    EXPERTS
    3.6
    ANALYSTS
     
    • Enterprise
    • Washington, US
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • The company is focused on the advancement of AI capabilities and aims at integrating the capabilities in its products and services, along with advancements in research, developments, acquisitions, and technologies. For instance, in May 2017, it released the second-generation Tensor Processor Unit (TPU) to expedite the ML tasks and create more ML models. Furthermore, Google is focused on the development of AI-first data centers. Additionally, in the AI platform market, Google is designing AI tools for molecule discovery and analysis of images for use in the medical field. Apart from these strategies, Google follows the acquisition strategy. It has acquired various startups, such as DNNresarch, DeepMindTechnologies, Moodstcok, HalliLabs, and Api.ai, to strengthen its position in the competitive AI platform market.

    BUYERS
    VENDORS
    EXPERTS
    3.5
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1998
    • More than $100 BN
    • 75,001 to 1,00,000
  • IBM is a major player in the deep learning space, making its vital presence in the development and innovation of deep learning technologies. Apart from this, IBM is one of the strong players in the AI platform market. It offers its platform services to various industry sectors, such as educational institutes, and for developers to better manage their business process. For instance, the company has designed an AI-based platform, which runs on cloud and is widely used by various industries. For instance, it is used in the healthcare industry to fight against diseases; by the financial institutions for financial investment management; and by educational institutes to offer a better learning experience. Apart from that, to expand its AI platform, IBM included TensorFlow (a software library for ML) to its PowerAI for ML and deep learning framework, built on the architecture POWER 8.

    BUYERS
    VENDORS
    EXPERTS
    3.3
    ANALYSTS
     
    • Enterprise
    • New York, US
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • Amazon is focused on enhancing the organizational capabilities of AI using strategies, such as product launches, partnerships, R&D, and innovation. For instance, it is a member of the ‘Partnership on AI’ association, which aims at taking help from technology giants to introduce AI technological capabilities for the benefit of people and business. Moreover, the company launched 3 services: Amazon Lex, Amazon Polly, and Amazon Rekognition, to help developers build applications with AI technology incorporated into it. Moreover, the company is focused on developing virtual assistance, NLP, and voice technology. Additionally, it has partnered with NVIDIA Corporation to enhance the deep learning capabilities. This partnership also aims at training developers for using the Amazon Web Services platform by providing them with tools for deep learning and joint development.

    BUYERS
    VENDORS
    EXPERTS
    3.2
    ANALYSTS
     
    • Enterprise
    • Washington, US
    • Founded: 1994
    • More than $100 BN
    • 501 to 1,000
  • SAP is one of the major players in the AI platform market, which focuses on bringing intelligence into various applications. Moreover, the company is using Google’s TensorFlow library to strengthen technologies, such as text translation, image recognition, natural language, speech recognition in its Leonardo suite. Apart from that, the company is working with Google’s ML team to strengthen its AI platform’s technological offerings. Moreover, it is taking various initiatives to incorporate ML technologies for developing intelligent business applications. Additionally, SAP launched the solution, Brand Intelligence, which uses deep learning technologies to study the brand exposure in images as well as videos. This was designed to help the advertisers in achieving accurate insights into their RoI from advertising. This offering was developed by the SAP Innovation Center Network that uses the ML platform. Moreover, SAP aims at making this offering available to developers and partners in 2018. Apart from this, the company has started a SAP Application Intelligence program for customers to use partner solutions that contain the capabilities of AI. With this program, it has become easier for customers to take advantage of the solution. Moreover, the program encourages the use of ML and AI solutions by promoting the platform compatibility and interface certification.

    BUYERS
    VENDORS
    EXPERTS
    3.2
    ANALYSTS
     
    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • 501 to 1,000
  • Intel has adopted the acquisitions strategy to strengthen its AI platform offerings; for instance, it acquired Nervana Systems, an expert in ML capabilities. Apart from the acquisition’s strategy, the company is also said to be making capital investments to accelerate the AI innovation in companies, such as AEye, Element AI, and CognitiveScale. Moreover, the company has made investments in startups to enhance its AI platform’s technological capabilities. Apart from acquisitions and investments, the company formed a partnership with Tata Consultancy Services to build the architecture for AI, IoT, cloud, and 5G. With such strategies, Intel is trying to sustain in a competitive position in the AI platform technologies, such as deep learning, neural networks, and ML. Moreover, to enhance its product offerings, the company focuses on the upcoming Intel Nervana ASIC (Application-Specific Integrated Circuit) engine, designed to enhance the deep learning capabilities of neural networks. Moreover, the engine helps in speeding up the process of AI training.

    BUYERS
    VENDORS
    EXPERTS
    3.1
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1968
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • The company is one of the strong players in the AI platform market. Salesforces’ Einstein suite offers AI capabilities for its Salesforce platform. It is said to be continuously focusing on the R&D and product innovations in AI platform technologies. For instance, in September 2017, the company raised a fund of USD 50 million to support the startups in building AI-driven applications for its Salesforce platform. With the founding amount, the company is trying to tap into the unexplored options to add value to the AI platform market. Additionally, in June 2017, the company launched AI tools, which were designed based on the Einstein suite. The algorithms of the AI tools were categorized under the Einstein platform services and designed to allow the developers to leverage the benefits of intelligence. Salesforce has continuously been updating its AI services and platforms to cater to the changing business needs. For instance, to expand its Einstein platform services product portfolio, the company launched 3 services: Einstein Sentiment, Einstein Intent, and Einstein Object Detection. These products would help developers in building deep learning models. Moreover, in September 2015, the company launched AI services with the capabilities of object recognition and NLP using its Einstein portfolio. These services were launched with the aim of helping the developers with AI capabilities. Salesforce is also focused on the research and innovations in the AI platform market, for which it joined the ‘Partnership on AI to Benefit People and Society.’ Such initiatives would help Salesforce in meeting the changing demands of businesses, along with assisting them in staying ahead of the industry giants in the AI platform market.

    BUYERS
    VENDORS
    EXPERTS
    3.1
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1999
    • $5BN to $10BN
    • 20,001 to 25,000
  • Qualcomm has been focusing on bringing ML and AI technologies to various industrial applications. For instance, to enhance the capabilities of the AI platform technology across various industries, such as manufacturing and finance, the company acquired Scyfer B.V., which possesses developed capabilities in ML. Qualcomm also helps bring AI-enabled applications to various industries. Qualcomm has raised a funding of USD 14 million, under Series C, for its BrainOS platform. The platform is a software built with the help of sensors and hardware, designed to offer a basis for creating autonomous robots. Apart from this, the company is working on building AI technologies in various devices, such as robots and cars, to negate the requirement of network or Wi-Fi. Additionally, the company’s consistent efforts in R&D in AI is evident from the fact that it started the Qualcomm Research in the Netherlands in 2014, as well as, acquired Euvision Technologies. Moreover, in 2016, it collaborated with Google to speed up TensorFlow, Google’s open source library. Qualcomm, with the help from the University of Amsterdam, created a research lab. Additionally, in 2017, the company announced its support for deep learning frameworks, such as Caffe2 and TensorFlow.

    BUYERS
    VENDORS
    EXPERTS
    2.8
    ANALYSTS
     
    • Enterprise
    • San Diego, California, US
    • Founded: 1985
    • S10BN to $50BN
    • 30,001 to 35,000
  • The company focuses on the launch of AI-enabled platforms, which is evident from the fact that, HPE unveiled a software solution, Investigate Analytics, which comprises big data and AI technologies, designed to help the financial firms with identifying risk and fraudulent behaviors. This offering was launched at the LegalTech conference in New York City to help identify such frauds and risks by analyzing large amounts of data. Moreover, the company launched hardware, services, and software in June 2017, which were designed to deliver high-performance computing and AI technologies. These hardware, services, and software also help scientific institutes and organizations in gaining insights into large amounts of data. Additionally, these solutions focus on helping organizations with the security and cost factors. HPE partnered with BASF SE. As a part of this partnership, HPE would help BASF SE develop supercomputers. HPE’s Apollo system would assist in creating and developing the modeling and simulation approach, so that BASF SE can find new opportunities in the process of simulation and complex modeling development during its research process.

    BUYERS
    VENDORS
    EXPERTS
    2.8
    ANALYSTS
     
    • Enterprise
    • Palo Alto, California, United States
    • Founded: 2015
    • 10,001 to 15,000
  • SAS Visual Data Mining and Machine Learning offers an innovative solution that combines the most advanced analytics, data prep, visualization, model assessment and model deployment in a single environment. It also supports programming from popular open source languages. This reliable, collective environment produces desired outcomes, helping improve organizational procedures and discover new opportunities for growth.

    BUYERS
    VENDORS
    EXPERTS
    2.6
    ANALYSTS
     
    • Enterprise
    • North Carolina, US
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
  • The company is focused on adopting the software automation platform, along with AI-based automation techniques, to increase the efficiency of its projects. Infosys’ Mana platform of AI was adopted by many its clients to achieve efficiency and automation. Moreover, the company invested in the Danish AI startup, UNSILO, which leverages NLP and ML to gain insights into numerous texts for increasing the efficiency and the speed of workers. Additionally, to help clients take advantage of the AI-based technologies, Infosys launched the AI platform, Nia.

    BUYERS
    VENDORS
    EXPERTS
    2.6
    ANALYSTS
     
    • Enterprise
    • Karnataka, India
    • Founded: 2018
    • 501 to 1,000
  • The company is focused on the innovation and development of AI platform technologies, which is evident from the fact that it partnered with Tel Aviv University’s (TAU) business engagement center, Ramot, in July 2017. The partnership focused on the research of the continuously developing AI technologies. Moreover, Wipro has made investments through the Horizon Program (intrapreneurship program) to nurture AI platform technologies in the organization. Apart from that, the company is focused on its investment in AI technologies for achieving a differentiation in IT services business. Additionally, it launched the automation service for SAP software to automate the business processes that run on SAP’s Enterprise Resource Planning (ERP) software. The automation service includes the capabilities of Wipro’s AI platform, HOLMES.

    BUYERS
    VENDORS
    EXPERTS
    2.5
    ANALYSTS
     
    • Enterprise
    • Karnataka, India
    • Founded: 1945
    • 1,00,001 to 5,00,000
  • Oracle provides readymade AI cloud applications with intellectual features that drive better business outcomes. It offers a full suite of cloud services to build, deploy, and manage AI-powered solutions. It automate security patching, backups, and improve database query performance, which eliminate human error and repetitive manual tasks. so organizations can focus on higher-value activities.

    BUYERS
    VENDORS
    EXPERTS
    2.5
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1977
    • 1,00,001 to 5,00,000
  • Ayasdi introduced its AI platform in the healthcare and financial sectors by partnering with Deloitte. Both the companies worked to increase the adoption of AI across various enterprises. Additionally, Ayasdi benefits from Deloitte’s capabilities in cognitive as well as the other emerging technologies for discovering business applications. Moreover, Ayasdi is said to be experiencing a rapid growth in its healthcare vertical, and to cater to the growing demand, the company has made additions to its healthcare staff. The addition of the staff would be useful in increasing the company’s place in key analytical challenges for its solutions, such as patient risk stratification and fraud, clinical variation, and denials management.

    BUYERS
    VENDORS
    EXPERTS
    2.3
    ANALYSTS
     
    • Startup
    • California, US
    • Founded: 2008
    • Below $10 MN
    • 101 to 500
  • RapidMiner provides a comprehensive solution on a integrated platform that supports the whole Machine Learning workflow from data preparation through model deployment to ongoing model management. It is quick-to-learn and simple-to-use workflow designer accelerates end-to-end data science for improved productivity.

    BUYERS
    VENDORS
    EXPERTS
    1.8
    ANALYSTS
     
    • Startup
    • Massachusetts, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
  • DataRobot automated machine learning platform provides knowledge, experience, and best practices to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot allows users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods.

    BUYERS
    VENDORS
    EXPERTS
    1.8
    ANALYSTS
     
    • Enterprise
    • Massachusetts, US
    • Founded: 2012
    • 101 to 500
  • The company provides a highly interactive conversational AI betting solution that engages customers over any channel, device, service, and language. It uses linguistic and machine learning techniques for maximum performance on any platform.

    BUYERS
    VENDORS
    EXPERTS
    1.7
    ANALYSTS
     
    • Startup
    • Barcelona, Spain
    • Founded: 2001
    • Below $10 MN
    • 51 to 100
  • Kasisto offers a conversational AI platform to create virtual assistants and bots that deliver personalized, delightful and intelligent experiences across multiple channels. It enables a network of intents wired at runtime to enable human-like, cross-intent conversational experiences. KAI includes a deep-learning analytical toolset for data collection and analysis, model training, testing, and deployment.

    BUYERS
    VENDORS
    EXPERTS
    1.7
    ANALYSTS
     
    • Startup
    • New York, US
    • Founded: 2013
    • Below $10 MN
    • 51 to 100
  • Faculty Platform allows to manage and schedule model training and execution pipelines natively, and deploy models into staging and production with one simple workflow. It use a browser or command line interface that integrates with favourite IDE and version control systems for easy interface customisation.

    BUYERS
    VENDORS
    EXPERTS
    1.6
    ANALYSTS
     
    • Startup
    • London, Westminster
    • Founded: 2014
    • Below $10 MN
    • 1 to 50
  • Vital AI Development Kit (VDK) offers a suite of software to reorganize the flow of data across application architecture and integrate with analytical frameworks using the Vital Service API. The key tool is VitalSigns, which provides a consistent data model used by all software modules.

    BUYERS
    VENDORS
    EXPERTS
    1.6
    ANALYSTS
     
    • Startup
    • New York City, New York, United States
    • Founded: 2011
    • 1 to 50
  • Msg.ai Artificial Intelligence respond quickly to issues that are repeatable, while enabling human agents to focus on high-impact work. It ensure a best experience to customers whenever there is a  an issue, a question or a need. It can collaborates with human agents to offer high-quality resolutions to customer queries on email, mobile, and chat.      

    BUYERS
    VENDORS
    EXPERTS
    1.5
    ANALYSTS
     
    • Enterprise
    • San Francisco, California
    • Founded: 2015
    • 101 to 500
  • Rainbird is an AI-powered automated decision-making platform. It goes beyond other rules engines that can only make simple decisions, and limited 'black box' machine learning that can't explain. The platform drives smarter decision-making by enabling semantic links between different Rainbird knowledge maps. It enables to 'join-up' previously siloed knowledge and deliver a more holistic and strategic system, capable of automating complex decisions.

    BUYERS
    VENDORS
    EXPERTS
    1.4
    ANALYSTS
     
    • Enterprise
    • Founded: 2018
    • 501 to 1,000
  • Figure eight generates high-quality customized training data and automates business process with easy-to-deploy models. It offers products and services like self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.

    BUYERS
    VENDORS
    EXPERTS
    1.2
    ANALYSTS
     
    • SME
    • California, US
    • Founded: 2007
    • $51MN to $100MN
    • 101 to 500

POTENTIAL BUYERS AND THEIR PROBLEMS

 
#CoBaTech is tagged in this problem 5:32 PM 9 Apr,19
Project Manager,Company Name Classified
Raman Rajoo Other, CoBaTech

AI platform that utilises either Machine learning and/or Deep learning to make reasonable prediction ...Read More

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