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Vienna, Austria
1-10 Employees
2018
We will create a prototype or a full-scale production-ready software that handles your data, adjusts itself through time and provides you with a competitive advantage you were looking for. Leading and coordinating a project for face recognition and authentication using deep neural networks on mobile phones.
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Artificial Intelligence & Machine Learning Consulting
... Artificial Intelligence & Machine Learning Consulting ...
Seattle, United States
11-50 Employees
2016
At Xyonix we’ve made machine learning, AI and data science much more accessible, faster, and efficient. Xyonix teamed up with an early-stage startup to launch an AI iPhone app based assistant to help Med Spa nurse practitioners. We don’t just advise, we immersively collaborate with you to reshape your product landscape through AI. AI-Centric Product Reimagination: Our approach is founded on leveraging your data to design AI-integration solutions that are more than just efficient — they’re revolutionary. We've had the good fortune to work with many innovative companies that share our passion for leveraging AI and machine learning to enable exciting and powerful product capabilities. We played a pivotal role in technology development and strategic product planning; our involvement was key in fusing medical accuracy with technological innovation in product development. For a fortune 500 company, our Xyonix built models are in production today constantly analyzing thousands of recent in body surgery videos and reviews across many hundreds or thousands of surgery rooms around the world. We built a system that helped our client help popular artists like Metallica and Beyonce communicate with their massive fan base by automatically interpreting millions of fan text messages sent to artist’s personal phones.
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Model Experimentation - AI & Machine Learning Consulting Services | Xyonix
... Model Experimentation - AI & Machine Learning Consulting Services | ...
Bristol, United Kingdom
1-10 Employees
2014
At DroneX we are passionate about using Artificial Intelligence, Deep Learning and related technologies to overcome your specific business challenges. We provide insightful AI consulting services and develop custom machine learning solutions to help you achieve target outcomes. We develop conversational AI software solutions that use real-time speech recognition to work alongside individual users, providing direct answers and smart functionality that adds a new level of ease and efficiency to the user experience. We can apply our expertise in supervised, unsupervised, and reinforcement machine learning to solve complex business problems.
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Dronex | Machine Learning Consulting | Bristol
... Dronex | Machine Learning Consulting | ...
Newcastle upon Tyne, United Kingdom
1-10 Employees
2023
TechMistry is a trusted stratagic partner for enterprises who need to solve complex problems using state-of-the-art technologies including, computer vision, Natural language processing, big data and machine learning. With TechMistry, you will be able to solve your complex problems while saving money for your company. We develop machine learning software for everything from MVPs to full enterprise products. Building product software systems or SaaS and want to make it smart?
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Machine Learning, Ai, Data Analytics
... Machine Learning Consulting ...
Lund, Sweden
1-10 Employees
2019
We collect data from every reliable source that can benefit our client. We apply the latest methods from Machine Learning, Natural Language Processing & AI to transform data into useful knowledge. We make sure that new data is available through our APIs as quickly and frequently as possible.
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Data Wealth - Machine Learning Consulting
... Data Wealth - Machine Learning Consulting ...
Santa Monica, United States
11-50 Employees
2017
Intelasa works closely with you to identify opportunities, develop custom strategies and seamlessly integrate AI technologies into your operations. We develop and integrate custom machine learning models designed to address specific business challenges. Learn more about the industries we serve and the AI-powered solutions we offer to address their specific challenges. Provide strategic recommendations to maximize the impact of AI on your business. Our team of experts provides comprehensive cloud-based IT services, leveraging the power of AWS and Azure to build, deploy, and manage AI solutions. Voice Assistants: Develop and integrate voice assistant solutions into your products or services.
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Featured
Home Page
... Dive deeper into our AI and machine learning consulting, integration and cloud-based IT services. ...
Ellijay, United States
1-10 Employees
2019
Caleb has over 20 years of experience writing software.
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Mad Consulting
... Machine Learning Consulting ...
Linköping, Sweden
1-10 Employees
2022
Zyzygen has the experience and knowledge needed to exploit this data proficiently. Currently Zyzygen works with advanced Machine Learning models for the financial sector.
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Featured
Machine Learning and Artificial Intelligence consulting
... Machine Learning and Artificial Intelligence consulting ...
Rae vald, Estonia
1-10 Employees
We provide data science services to help our partners find patterns in data and extract relevant insights by using statistical methods. Mariano is a member of the Network of Argentine Leaders and Talents - Argentina Foreign Ministry. We collect raw data, examine and segment them, and deliver it to you in a suitable format so you can collate this information and generate insights.
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Data Analytics
... Machine Learning Consulting ...
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Artificial Intelligence & Machine Learning Consulting Services - Drive Business Impact | Apollo Intelligence Consulting
... Artificial Intelligence & Machine Learning Consulting Services - Drive Business Impact | Apollo Intelligence ...
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Some interesting numbers and facts about the results you have just received for Machine Learning Consulting
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 91 |
| Amount of suitable service providers | 106 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2014 |
| Youngest suiting company | 2023 |
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Machine learning consulting is a specialized service provided by experts who leverage artificial intelligence (AI) and data analysis techniques to develop algorithms capable of learning from and making predictions or decisions based on data. This field merges statistical analysis, predictive modeling, and algorithm development to solve complex business problems, streamline operations, and foster innovation across various industries. Consultants in this domain work closely with organizations to identify opportunities where machine learning can add value, design tailored solutions to meet specific needs, and implement these solutions while ensuring they integrate seamlessly with existing systems and processes. The role of machine learning consulting is pivotal in enabling businesses to harness the power of their data, optimize performance, and gain a competitive edge. By providing insights into customer behavior, operational inefficiencies, and future trends, these consultants play a critical role in driving data-driven decision-making and strategic planning. Furthermore, as machine learning technologies evolve, consultants are essential in helping organizations stay at the forefront of innovation, ensuring they continuously benefit from the latest advancements in AI. Through their expertise, machine learning consultants not only demystify the complexity of AI for their clients but also unlock new opportunities for growth, productivity, and innovation, thereby having a profound impact on the landscape of modern business.
1. Customized Solutions
Machine learning consulting offers tailor-made solutions designed to meet the specific needs of a business. Unlike off-the-shelf software, these personalized strategies can significantly enhance operational efficiency and productivity.
2. Expertise and Experience
Consultants specialize in the latest machine learning technologies and possess a wealth of experience across various industries. This expertise enables them to identify and implement the most effective solutions, avoiding common pitfalls.
3. Competitive Edge
Leveraging machine learning consulting can provide businesses with a competitive advantage. By utilizing advanced analytics and predictive models, companies can anticipate market trends, optimize decision-making, and improve customer experiences.
4. Cost Efficiency
Although it may seem like a significant upfront investment, machine learning consulting can lead to substantial long-term savings. By automating routine tasks and improving decision accuracy, businesses can reduce operational costs and enhance profitability.
5. Scalability
Machine learning solutions are highly scalable, meaning they can grow and adapt with a business. Consulting services can help organizations to implement scalable systems that can handle increasing data volumes and complexity without compromising performance.
While evaluating the different suppliers make sure to check the following criteria:
1. Experience and Expertise
Look for suppliers with a proven track record in machine learning projects similar to yours. Their team should possess deep expertise in the specific machine learning technologies and methodologies relevant to your needs.
2. Customization Capabilities
Ensure the supplier can tailor their solutions to fit your unique requirements, rather than offering one-size-fits-all services.
3. Data Security and Privacy
Assess their commitment to data security and privacy. A reliable supplier should have robust measures in place to protect sensitive information.
4. Scalability and Flexibility
Choose a supplier that can scale their services in alignment with your project's growth and is flexible enough to adapt to changing requirements.
5. Support and Maintenance
Verify that the supplier offers comprehensive post-deployment support and maintenance services to address any issues promptly.
Machine learning consulting has become integral to the B2B sector, offering innovative solutions across various industries. In the financial industry, it plays a crucial role in fraud detection and risk management. By analyzing vast amounts of transaction data, machine learning algorithms can identify patterns indicative of fraudulent activity, enabling businesses to preemptively address potential threats and minimize financial losses. In the realm of healthcare, machine learning consulting is revolutionizing predictive analytics and patient care. Through the analysis of patient data and health records, these algorithms can predict disease outbreaks, recommend personalized treatment plans, and optimize hospital operations, thereby improving patient outcomes and operational efficiency. The manufacturing sector benefits from machine learning through predictive maintenance and supply chain optimization. By analyzing equipment data, these algorithms can predict when machinery is likely to fail, allowing for timely maintenance and reducing downtime. Additionally, machine learning optimizes supply chain logistics, forecasting demand, and managing inventory more efficiently, leading to cost savings and increased productivity. In marketing, machine learning consulting enhances customer segmentation and targeted advertising. By analyzing customer behavior and preferences, businesses can create highly personalized marketing campaigns, improving engagement rates and ROI. This tailored approach enables companies to better understand and meet their customers' needs, fostering loyalty and driving sales.
Machine Learning Consulting currently stands at a high Technology Readiness Level (TRL), approximately between TRL 7 to TRL 9. This assessment is based on the extensive integration and active deployment of machine learning (ML) solutions across a myriad of industry sectors—from healthcare and finance to retail and autonomous vehicles. The justification for this TRL positioning stems from the successful demonstration of ML applications in operational environments, where they not only match but often exceed human decision-making capabilities, especially in data analysis and predictive modeling tasks. Technical advancements in algorithms, computing power, and data storage have propelled ML from theoretical models to practical, reliable systems. These systems are now capable of learning from vast datasets, making highly accurate predictions, and continually improving through feedback loops. Furthermore, the widespread availability of ML frameworks and libraries, along with cloud computing resources, has significantly lowered the barrier to entry, enabling rapid prototyping and deployment of ML models. This level of maturity indicates that machine learning consulting is not only technologically advanced but also robust and scalable, reflecting its readiness for widespread implementation and its potential to drive significant innovation and efficiency improvements across industries.
In the Short-Term, machine learning consulting is poised to witness significant enhancements in automation tools and algorithms. This phase will see the introduction of more sophisticated, user-friendly platforms that enable businesses, even those with minimal machine learning expertise, to implement and benefit from ML technologies. These advancements are expected to democratize machine learning, making it more accessible to a wider range of industries and thereby increasing adoption rates. Moving into the Mid-Term, the focus will shift towards the integration of machine learning with other emerging technologies such as quantum computing and edge computing. This convergence is anticipated to drastically improve processing speeds and efficiency, enabling the analysis of vast datasets in fractions of the current time. Additionally, this period will likely witness the emergence of more industry-specific machine learning solutions, offering tailored benefits to sectors like healthcare, finance, and manufacturing. In the Long-Term, the landscape of machine learning consulting is expected to be revolutionized by the advent of autonomous learning systems. These systems will be capable of self-improvement without human intervention, significantly reducing the time and resources required for machine learning projects. Moreover, ethical AI and explainable AI will become central to machine learning consulting, ensuring that AI decisions are transparent, fair, and accountable. This era will mark a significant shift towards more ethical, efficient, and autonomous machine learning applications, reshaping industries and societal norms alike.
Some interesting questions that has been asked about the results you have just received for Machine Learning Consulting
What are related technologies to Machine Learning Consulting?
Based on our calculations related technologies to Machine Learning Consulting are Education, Engineering Services, IT & Technology Services, Healthcare Services, Consulting
Who are Start-Ups in the field of Machine Learning Consulting?
Start-Ups who are working in Machine Learning Consulting are TechMistry
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Zyzygen AB,
Apollo Intelligence ConsultingWhich industries are mostly working on Machine Learning Consulting?
The most represented industries which are working in Machine Learning Consulting are Information Technology, Software, Professional Services, Data and Analytics, Science and Engineering
How does ensun find these Machine Learning Consulting Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
