The human brain and programs for computers and their networks operate on a similar principle – they use the algorithms embedded in them. The algorithm allows, instead of calculating all possible options and choosing the best of them, to immediately go to the option that brought a positive result earlier, in the presence of the same or similar conditions. Expert algorithms of actions are embedded in each software product, but life changes, and with it, the correct algorithms of actions change.
In addition, new tasks arise, and the algorithm for solving them still needs to be created. The human brain solves this problem by learning. A person learns every second of his life, sometimes without even realizing it. In order for software products to solve new and changing tasks, they either need to mechanically introduce new algorithms or introduce the possibility of machine learning.
Machine learning is a method of functioning artificial intelligence, namely, the practical implementation of its capabilities by creating algorithms for identifying patterns in the analysis of big data, and their further use for self-training. The latter is the main feature and priority task: not to solve one specific task directly, but to learn by applying solutions to perform other similar tasks. For this purpose, mathematical and statistical analysis, and other data processing techniques are used. The precision of the machine learning algorithm is based on the input data used to train the system. The purpose of ML is not to replace people with computers, but to expand their capabilities. Artificial intelligence is already able to solve a wide range of tasks beyond the power of natural intelligence, or it simply takes too much time and effort.
Machine learning is being used increasingly in today’s business world. Even 10 years ago, all accounting and calculations were kept in spreadsheets. However, modern companies are implementing machine learning, which helps reduce calculations’ errors to zero. Therefore, half of the companies are building internal teams of data scientists to build ML models. At the same time, the rest rely on offshore machine learning companies to reorganize their business systems and operations. Machine learning allows companies to find unexpected correlations, predict possible consequences, make discoveries, and take the right actions. ML is becoming increasingly influential. Because it relies on data, it is trained to create valuable intelligent models to determine the right decisions and actions. Machine learning services can dramatically improve the productivity and growth of your business, taking it to the next level.
Here are the essential strengths of ML:
- Processing vast amounts of unstructured data
- Automation of routine tasks
- Reduction of costs
- Deepening marketing personalization
- Identification of business trends
- Increasing business efficiency
- Acceleration of the development cycle
Implementing artificial intelligence is the way to automate business operations and streamline costs. However, due to the shortage of technical talent, companies are turning to outsource AI services. But choosing a reliable offshore AI company to develop your customized solution among a large number of leading market players can be difficult. We have compiled the top 7 ML agencies with extensive experience and meet the standards.
Top Machine Learning Companies
-
Brights
Our leader has more than 100 employees and over 400 successful cases for clients from different parts of the world – this is the Brights agency. The company is already 11 years and growing. Brights’ machine learning experts can help you and your business explore new privileges and learn more. The company develops custom solutions for the automation of processes of large companies, as well as startups from scratch. Most often, these are turnkey projects: Brights independently design, conduct research, prototyping, and testing.
- ELEKS
ELEKS is a cutting-edge ML agency, providing expert software development services for over thirty decades. The company’s team comprises over 2000 specialists, whose expertise covers a variety of niches – from big data processing to data migration and software development in industries such as fintech, logistics, insurance, entertainment, automotive, etc. Therefore, ELEKS is chosen as a partner by many of the world’s leading enterprises, small and mid-sized businesses, and large corporations.
3. ScienceSoft
ScienceSoft is a trusted technology partner whose mission is to provide artificial intelligence and ML services that help companies in 30+ industries personalize customer experiences, automate and optimize processes, and accurately leverage predictions. The company was founded in 1989 and had 700 employees. Their IT specialists have up to twenty years of relevant experience and are focused on creating practical and cost-effective ML-based applications. To do this, they start with a feasibility study, develop MVPs, deliver ML solutions incrementally, and track progress at each step with custom KPIs.
4. DataToBiz
DataToBiz partners with businesses, organizations, and institutions of all sizes to implement data engineering solutions. It helps enterprises meet challenges by deploying data-driven models. DataToBiz provides comprehensive approaches to empower businesses to succeed with advanced technologies. The company’s solutions are agile, highly scalable, and economically efficient. The team boasts years of experience and a 97%+ satisfaction rate.
5 Inflexion
Iflexion is a trusted all-in-one software development company that has encompassed all facets of software development since 1999. With over a century of experience and 850+ employees, Iflexion serves mid-size and big companies worldwide. In-depth technical knowledge, combined with an understanding of the business, enables the creation of unique solutions that keep businesses, their employees, and their customers working every day. Inflexion transforms legacy systems into modern cross-platform applications, creates HTML5/JavaScript applications, modernizes old-fashioned web interfaces, and more.
6. InData Labs
InData Labs is a provider of Data Science and AI solutions with headquarters in Cyprus and a team of over 80 employees. Since 2014, the company has completed 150+ projects, helping clients grow their businesses by implementing big data analytics solutions to extract actionable information. InData Labs has its own R&D center working in ML, computer vision, and AI software development. They serve medium to large businesses in a wide range of sectors.
7. Intellias
Intellias is a reliable technology collaborator for senior-level organizations and digital companies, assisting them in accelerating the rate of digitalization. Intellias has been creating business-critical projects and reaching results that meet customers’ business needs for over two decades. The company contributes to the success of the world’s top brands.
Conclusion
By now, we’re pretty sure you have a clear picture of the leading ML agencies that now prevail in the business world. ML, speech recognition, and language comprehension technologies are reaching their limits. We will soon have assistants with artificial intelligence to help us in every aspect of our lives. Machine learning, with its incredible benefits, is certainly not going anywhere. The responsible use of ML plays a key role in solving mankind’s most complex problems, increasing the efficiency of human performance, and productivity improvement. We can state that breakthrough cases are ML projects implemented on time and consistently bring measurable profit to the business. Data analysis and ML competencies are essential to achieve this, and the conditions when data scientists have a good understanding of the whole picture of the business task. To accomplish this, take note of the ML agencies represented at our top, which are reliable partners with many years of experience in this field.
Also Read: Understanding The Machine Learning Workflow
