Artificial Intelligence and Machine Learning Integration
The age of Artificial Intelligence and Machine Learning technologies seems to be right around the corner. Companies like Facebook & Google are breaking ground on astounding innovations in AI while others, like Tesla, warn of the possibility for harm. Muoro strives to steer you and your team through endless possibility, and to help build ethically responsible technologies that improve and enhance your commercial capabilities.
In the early days, IT practitioners built reports and dashboards to present data business users could consume and interpret. Over time, these dashboards needed to be more timely and interactive. Business intelligence systems, backed by a data warehouse, were built to allow such interactive analysis. Data was extracted from operational systems, cleansed, and transformed to be consistent and suitable for analytics, and data warehouses were populated with this clean data. The process was referred to as data integration, and it began to play a vital role in transforming data into insight.
Today’s business environment demands advanced, near-real-time analytics to enable automated business processes and to let business users gain valuable customer insight. Enterprises are harnessing advances in computer technology to achieve this goal. Data integration plays an important part.
Data integration systems are increasingly looking to use machine learning-based approaches for finding and highlighting the islands of useful data in the vast ocean of dark data (and thus improve analytics). Metadata is gaining a stronger emphasis and is being captured explicitly or inferred with help of machine learning. Some examples are the use of machine learning in the inference of schema, data distribution, and common value patterns.
Similarly, in the context of data protection, classification algorithms can be used to automatically detect sensitive data and protect them using an appropriate scheme in a policy driven manner. These are only a couple of examples of how data integration systems are applying machine learning to improve analytics. Every dimension of data management is evolving to make space for applying machine learning to improve the whole process.
The recent AI-based self-driving cars, enhanced cancer diagnosis tools, and predictive maintenance successes have triggered a renewed interest in Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL).
Today, with improved algorithms, computational power (CPU & GPU), parallel computing combined with the ability to collect real-time data as well as using IoT to acquire data; adopting Artificial Intelligence into your business is not only merely possible, it must and will become a critical part of your digital transformation strategy if it is not already. AI will be key for your company to become the business predator you ought to be and not fall prey to others who will disrupt your market.
Our team here at Muoro consists of Data Scientists, Computer Scientists, Engineers, Mathematicians and Software Developers. Our experience in software development, data analytics, optimization algorithms, deep learning combined with our domain expertise in engineering and operations; put us in a unique position to help make AI work for you, whether it is to adopt AI to accelerate your digital transformation, or to solve specific real-world business or technical challenges. Muoro is helping enterprises across continents to gear up with the updated Machine Learning and Artificial Intelligence techniques to cater to the dynamic business world requirements.
How we help clients:
Our goal is to help bring practical and real value of Artificial Intelligence to your business. Our approach is to first understand your business objectives and challenges through a collaborative Artificial Intelligence assessment workshop. Together we will assess your Artificial Intelligence readiness, determine data pre-requisites, discuss the human element of the project, and identify viable and practical Artificial Intelligence projects that will help accelerate your business goals. Under mentioned are few examples of how we have helped our customers in achieving various business goals:
help in detecting the cause of dwindling profit margins to the business enterprises, helping them overcome the problem; and
support business enterprises cut down the time and efforts to be put in the quality assurance testing; and
with our process and products businesses can catch defective parts earlier in the manufacturing cycle to reduce failed/rejected products and rework time; and
help to predict future failures based on real time data history to cut down business cost and re-work timings; and
reduce complex shipping operations and other unplanned costing; and
will increase project energy intake to save on poser cost and CO2 footprints; and
curb the conservative forecasting’s and avoid under utilization of capacity.
Aspiring for any Idea or Vision…….
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