Artificial Intelligence Platform in Transportation and Logistics

The transportation sector is using artificial intelligence platform and ML technology to solve problems related to traffic congestion. AI capabilities such as ML are embedded in video surveillance to detect traffic anomalies. The algorithms are highly useful to determine traffic flow, road congestions, accidents on the road, and so on. Due to these benefits, algorithms are proving beneficial in saving the valuable human time required to analyze the traffic. Moreover, algorithms are used in transportation and logistics planning to achieve efficiency and effectiveness in the process. Apart from that, AI capabilities such as speech recognition and vision are also used in the transportation sector. Moreover, another technological capability such as AI and robotics are important elements in autonomous driving and sensors that generate a large amount of data. To analyze that data, ML technology is used.

TOP VENDORS
In Artificial Intelligence Platform

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

Artificial Intelligence Platform in Transportation and Logistics Quadrant

Comparing [object Object] vendors in Artificial Intelligence Platform across 233 criteria.

Find the best Artificial Intelligence Platform solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts

EVALUATION 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
3.10
3.05
3.00
Focus on Product Innovation
2.50
3.25
4.00
Breadth and Depth of Product Offering
0.30
0.30
0.30
Product Branding
4.60
3.70
3.50
Support Services
4.20
3.30
3.85
End-Users served
5.00
5.00
5.00
Deployment Mode
3.55
3.55
5.00
Delivery Model
5.00
5.00
2.40
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.

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    BUYERS
    VENDORS
    EXPERTS
    3.6
    ANALYSTS
     
    • Enterprise
    • Washington, US
    • Founded: 1975
    • 1,00,001 to 5,00,000
  • Google Cloud Platform offers cloud computing services that comprise ML, data analytics, and data storage capabilities. The platform provides features, such as secure and cost-effective infrastructure, along with data and analytics capabilities, for better product development. Moreover, Google offers the open source library, TensorFlow, to carry out numerical calculations with the help of data flow graphs. TensorFlow helps users from various industry backgrounds in using different applications, ranging from language translation to early detection of diseases. Apart from that, Google’s ML Engine enables developers to create ML models on any size of data. Additionally, its Cloud Machine Learning Engine offers managed services that negate the need for infrastructure and provide the basis for model development and prediction. It also adds portability, flexibility, and the ease of use. Additionally, Google’s Cloud Video Intelligence API is designed to concentrate on video analytics for the new audience. Furthermore, the Cloud Video Intelligence API makes the video searching process easier.

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    BUYERS
    VENDORS
    EXPERTS
    3.5
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1998
    • More than $100 BN
    • 75,001 to 1,00,000
  • IBM Watson suite enables organizations to combine AI into their applications, and also helps with data management in the cloud. It offers the PowerAI platform, which provides various AI capabilities. These capabilities negate the need for developing AI solutions. Moreover, the PowerAI platform provides AI-rich capabilities, such as deep learning, which allows organizations to fulfill the technological requirements. The IBM Power Systems software combined with the PowerAI platform allows enterprises to deploy PowerAI with deep learning capabilities for enhanced performance.

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    BUYERS
    VENDORS
    EXPERTS
    3.3
    ANALYSTS
     
    • Enterprise
    • New York, US
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • AWS Managed ML Platforms offers data scientists and developers a way to create models without investing in infrastructure management. Amazon ML removes the need to learn complex technologies and ML algorithms, along with visualization tools and wizards to help guide in the process of building ML models. Apache Spark on Amazon EMR is an open source distributed processing system, which focuses on big data workloads. It offers various features, such as enhancing the performance and enabling the quick development of applications, such as libraries, to help develop applications for various uses cases. Amazon Web Services also offers intelligent services to build application, such as Amazon Lex, Amazon Polly, and Amazon Rekognition. The services are used to turn text into speech, as well as, help study the images to recognize faces, objects, and scenes.

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    BUYERS
    VENDORS
    EXPERTS
    3.2
    ANALYSTS
     
    • Enterprise
    • Washington, US
    • Founded: 1994
    • More than $100 BN
    • 5,00,001 & more
  • SAP Leonardo Machine Learning platform is created on SAP Cloud Platform and comprises the capabilities of ML to help organizations in finding connections and patterns in the data. It comprises services that offer the capabilities to learn from data as well as gain knowledge. Moreover, it allows taking advantage of the intelligent capabilities for developing enterprise applications and removes the need for data science skills in the process. The SAP Leonardo ML platform offers the basis to create and manage intelligent applications under a common infrastructure. Moreover, SAP offers SAP CoPilot, the virtual assistant designed to help customers. The virtual assistant analyzes the unstructured speech to offer users with relevant data.

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    BUYERS
    VENDORS
    EXPERTS
    3.2
    ANALYSTS
     
    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • 501 to 1,000
  • Intel has adopted the acquisitions strategy to strengthen its Artificial Intelligence Platform 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.

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    BUYERS
    VENDORS
    EXPERTS
    3.1
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1968
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • Salesforce Einstein suite offers data modeling, preparation, and infrastructure processes, which can be embedded into predictive models and applications to benefit from capabilities. The Einstein platform services offer the basis to create AI-driven applications by making available, the capabilities of image recognition and NLP to the users. The Marketing Cloud Einstein allows the marketers to take benefits of tools, such as Predictive Scoring, Predictive Audiences, and Automated Send-time Optimization, to analyze the target audience, contents, and channels while designing campaigns. Furthermore, the Analytics Cloud Einstein helps in the discovery of future patterns for business processes and provides insights from a large chunk of data. These platforms remove the need to build algorithms and mathematical models. Moreover, by using Service Cloud Einstein, enterprises can achieve intelligent, automated, and predictive customer engagement experience. The Community Cloud Einstein offers customers a way to find the information and offers recommendations about the contents.

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    BUYERS
    VENDORS
    EXPERTS
    3.1
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1999
    • $5BN to $10BN
    • 30,001 to 35,000
  • Qualcomm has been focusing on bringing ML and AI technologies to various industrial applications. For instance, to enhance the capabilities of the Artificial Intelligence 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.

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    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.

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    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.

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    BUYERS
    VENDORS
    EXPERTS
    2.6
    ANALYSTS
     
    • Enterprise
    • Karnataka, India
    • Founded: 2018
    • S10BN to $50BN
    • 1,00,001 to 5,00,000
  • 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.

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    BUYERS
    VENDORS
    EXPERTS
    2.5
    ANALYSTS
     
    • Enterprise
    • Karnataka, India
    • Founded: 1945
    • $5BN to $10BN
    • 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
    • S10BN to $50BN
    • 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.

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    BUYERS
    VENDORS
    EXPERTS
    2.3
    ANALYSTS
     
    • Startup
    • California, US
    • Founded: 2008
    • Below $10 MN
    • 101 to 500
  • Absolutdata has been updating its product offering in the market; for instance, the company launched the upgraded version NAVIK Converter 2. 0, which comprises technologies, such as advanced analytics and ML, to help brands in designing campaigns. Furthermore, the company launched its AI platform, NAIVIK, as well as, AI-based tools for helping the sales and marketing team in achieving efficiency. Apart from that, to increase its expertise around analytics and achieve a steady growth, the company added more staff. It is believed that the company is attempting to develop more innovative AI platforms to offer better experiences to its clients.

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    BUYERS
    VENDORS
    EXPERTS
    2.3
    ANALYSTS
     
    • Enterprise
    • Alameda, California, US
    • Founded: 2001
    • 51 to 100
  • 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
     
    • Startup
    • Massachusetts, US
    • Founded: 2012
    • S10BN to $50BN
    • 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
  • 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

Questions & Answers

1. What are the most disrupting changes in Artificial Intelligence Platform which are going to disrupt the analytics domain as a whole?

2. How do I track recent advances in Artificial Intelligence Platform and understand its effect on my business?

3. How staying ahead with the advances in Artificial Intelligence Platform can help me ensure better ROI?

TOP REVIEWS

Looking for Artificial Intelligence Platform? Get help
General Manager,Company Name Classified
General Manager, Company Name Classified
#11 in Artificial Intelligence Platform

“No bad experiences with this software yet"

(*)(*)(*)(*)( )4
This software does require the user to spend some time to get to know and understand it. But once you do, rest assured, that it will be totally worth it. It provides so many tools that you will be spoiled for choice. It gives you a machine learning base, data analytics, predictive as well as cognitive automation.
General Manager,Company Name Classified
General Manager, Company Name Classified
#23 in Artificial Intelligence Platform

“Powerful platform "

(*)(*)(*)(*)( )4
The free datasets are perfect for a new user until you get the hang of it. Though the entire service is not free, you have a variety of open-source libraries to choose from. This is a powerful service and can carry out multiple tasks.
General Manager,Company Name Classified
General Manager, Company Name Classified
#12 in Artificial Intelligence Platform

“Not exceptional"

(*)(*)(*)( )( )3
Nothing much to say about this product except that it uses Aragi AI, a decent orchestration platform. It lacks in many areas, such as integration within and among components. It seems haphazardly put together, and does integrate well. It does not provide a central data log nor is it scalable.
General Manager,Company Name Classified
General Manager, Company Name Classified
#25 in Artificial Intelligence Platform

“Good for things like sentiment analysis"

(*)(*)(*)(*)( )4
This product helped us greatly in carrying out an analysis of tweets for the sentiments they represented and eased this task for us to a great extent.
General Manager,Company Name Classified
General Manager, Company Name Classified
#17 in Artificial Intelligence Platform

“Ideal predictive analysis platform"

(*)(*)(*)(*)( )4
DataRobot has assisted us greatly in reducing the need for manpower since it helps us automate a lot of machine learning tasks with predictive models, which help in decision making. With automation, it helps us maintain a set speed of work which results in our work getting completed on time easily! Plus, the margin of error is greatly reduced. It can work on multiple projects at a time, efficiently and without causing bottlenecks. The few drawbacks this product may have is its pricing, which is not favorable for small companies. In larger organizations, it may not be well-received due to the fear of losing jobs
Other,Company Name Classified
Other, Company Name Classified
#14 in Artificial Intelligence Platform

“Great AI platform for correlation analysis"

(*)(*)(*)(*)(*)5
This is one of the most amazing software to use to identify patterns and analyze data. All you need to do is feed that data to Ayasdi Core and it will analyze it to present various results based on the requirements. (We used it to look for factors that could help in reducing hospital stays of patients without affecting other aspects of their treatment.) It is easy to use and navigate and is also extremely stable, despite huge amounts of data being fed to it. However, it does not contain any training material, which can make it difficult to understand.
Other,Company Name Classified
Other, Company Name Classified
#25 in Artificial Intelligence Platform

“Synergy between computers and humans using ML "

(*)(*)(*)(*)(*)5
Using CrowdFlower means you can customize your model to optimize it perfectly using an interactive interface. It skims through large amounts of data to find the most relevant results for your model and does this rapidly. Since it is an intelligent combination of human as well as machine intelligence, you can extract sentiment-based results from a given set of data. This data could be comments, social media posts, social media profiles and the like.
Other,Company Name Classified
Other, Company Name Classified
#22 in Artificial Intelligence Platform

“Msg.ai is perfect for all traveler needs"

(*)(*)(*)(*)(*)5
We thoroughly appreciate the stellar support that the team at msg.ai provides. They help us improve our technology and do it in a manner that is super easy to understand as well. This has helped us gain opportunities and address issues we hadn’t discussed. The only issue we face is that since the team is not locally available, the waiting time for a query to be resolved is generally overnight. But we do get them promptly once the team is in.
Other,Company Name Classified
Other, Company Name Classified
#17 in Artificial Intelligence Platform

“A robust Platform"

(*)(*)(*)(*)(*)5
DataRobot is an ideal predictive analysis platform for any organization looking to become AI-driven. It’s a powerful solution that offers enterprise-class automated machine learning techniques designed to help you transform your organization into an AI-driven enterprise without a hassle. It automates and streamlines your modeling lifecycle, enabling you to expediently and easily develop accurate predictive models with little or no coding and machine learning skills. The platform is built to support rapid deployment of predictive models. It allows you to implement models with a few clicks to derive true business value in minutes. All models designed using DataRobot publish a REST API endpoint, which means integrating them within your modern enterprise applications is a breeze. Also, with DataRobot, there is no struggle writing codes or spending months trying to leverage your existing infrastructure. The application makes it easy to create, deploy, and customize your models to get precise predictions at scale regardless of the size of your organization. Additionally, DataRobot supports both on-premise and cloud-based deployment. It offers a comprehensive cloud module powered by the Amazon Web Services (AWS) to add agility, flexibility, and convenience to machine learning. The integrated cloud environment ensures a low total cost of ownership by trashing the need for infrastructure setup, hardware installation, and additional computing cost. The solution is also designed to leverage modern distributed data processing. It runs multiple experiments simultaneously to radically minimize the time it takes to complete a data science project. Better still, it eliminates model deployment bottlenecks by offering different methods to deploy finished predictive models such as exportable prediction code, native and batch scoring, and prediction APIs for real-time scoring.
Other,Company Name Classified
Other, Company Name Classified
#12 in Artificial Intelligence Platform

“Overview of Wipro Holmes"

(*)(*)(*)(*)( )4
Wipro Holmes is a naturally interactive platform that provides users with an immersive digital experience. The next generation technology utilized by the application is capable of processing natural language, recognizing patterns, hypothesizing, and more. This enhances the productivity of workers since they are assisted in making decisions and in the conduct of their tasks by a cognitive system. Wipro Holmes enables companies to prepare for future challenges through its predictive system. The application deploys algorithms that allow it to understand data and to read patterns so it can offer predictions for outcomes and trends. Wipro Holmes is equipped with machine learning technologies that enable it to deploy its cognitive process automation. These instructions are automatically learned by the machine and evolve due to continuous use. However, users can choose to define instructions to be followed by the application if they wish to have tighter control over them.
Other,Company Name Classified
Other, Company Name Classified
#24 in Artificial Intelligence Platform

“Two-part Solution "

(*)(*)(*)(*)(*)5
Rainbird Authoring Platform and the Rainbird Cognitive Reasoning Engine can be used to build knowledge maps and run reasoning engines. Since these are intuitive, they make it easy for the user to understand and perform various tasks such as model creation, scaling designs, or switching between two interfaces. The best part is that any model you create can be published as an API.
Other,Company Name Classified
Other, Company Name Classified
#11 in Artificial Intelligence Platform

“Best for Machine Learning"

(*)(*)(*)(*)( )4
The only problem with Nia is that it lacks features in natural language processing, Apart from that, it is my favorite tool among next-gen AI.
Head - Product Management,Buyer Healthcare
Head - Product Management, Buyer Healthcare
#14 in Artificial Intelligence Platform

“Good, but needs practice"

(*)(*)(*)(*)( )4
When we used it, we realized they separated Ayasdi Care and Workbench, which did not make sense to us. This required us to get familiar with Python and be adept at it. However, once done, we can seamlessly process significant volumes of data without a hitch. Its visuals are also appealing and the interface is easy to use. That being said, note that it is not the tool you want for dashboarding. It can be used to study and identify patterns and check for compliance.
Other,Company Name Classified
Other, Company Name Classified
#23 in Artificial Intelligence Platform

“Detailed documentation helps greatly! "

(*)(*)(*)(*)(*)5
Though its documentation is impressive, it would be best to have a basic understanding of scikit-learn before using bigML. That being said, it is easy to use on any platform since it works completely on API and has complete cloud storage for models that you develop.
General Manager,Company Name Classified
General Manager, Company Name Classified
#23 in Artificial Intelligence Platform

“ML on Cloud is perfect"

(*)(*)(*)(*)(*)5
Being available on cloud gives us easy access to all our data at all times. This includes even trained models. However, better training modules would definitely help.
Other,Company Name Classified
Other, Company Name Classified
#3 in Artificial Intelligence Platform

“IBM Watson Studio – no-nonsense, no waste of time! "

(*)(*)(*)(*)(*)5
We are currently using Watson Studio for our data management. It has helped us greatly. Since it is cloud-based, it saves a lot of time on configuration and maintenance. It just gets on with analyzing data! What we do find a bit cumbersome is the use of data refinery, but that totally depends on what youre using it for.
Other,Company Name Classified
Other, Company Name Classified
#7 in Artificial Intelligence Platform

“Effective software"

(*)(*)(*)(*)( )4
Why we love it: It is extremely comprehensive It is mobile compatible as well It helps us analyze and predict the customer actions It is quick in extracting and presenting data Issues we face: Since we are a small business, it is steeply priced for us. Not all features that you can generally use are available on mobile platform
Vice President,Company Name Classified
Vice President, Company Name Classified
#7 in Artificial Intelligence Platform

“Great tool for everyday forecasting"

(*)(*)(*)(*)( )4
When you have several pipelines within a team or department, you need a tool that will help you view them all in a manner that helps you categorize them based on quality. Einstein is that tool. It will help you manage your data efficiently and evaluate numbers easily. The only problem I have is that I cannot open multiple lenses at a time.
Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#7 in Artificial Intelligence Platform

“Awesome analytical tool"

(*)(*)(*)(*)(*)5
If you are looking for a product that helps you with organization and allocation of tasks, this is the one for you. It merges with Salesforce and you will be able to view and access information like accounts and numbers seamlessly. What’s more is, it helps you categorize them and predict customer behavior and actions to a certain extent. Apart from the long time this will take at the back end to be set up, it will make your life much simpler and free up time for other tasks.
General Manager,Company Name Classified
General Manager, Company Name Classified
#4 in Artificial Intelligence Platform

“High initial cost, but worth it. "

(*)(*)(*)(*)(*)5
Let’s start with what I like about this product. It is perfect for me since I need my algorithms implemented ASAP instead of a long and convoluted process. It saves a lot of time and is simple to use across devices. I can also easily verify the created models using integrated A/B tests. I would recommend it to anyone who would be okay with spending good money in the beginning and recovering it eventually.