Data Science
The Aggregate Net Solutions Platform helps IT, data science, and business teams work together to deliver value.
AI/Data Science
Exceed expectations and KPI targets with a data science platform that accelerates model deployment and fosters collaborations across departments.
Demonstrate measurable value with an ANS platform.
This Platform accelerates the time-to-value of data science by allowing data scientists to launch environments from templates, deploy models as APIs, and share code and model outputs with their team or decision-makers in the form of interactive reports. Track work by connecting the platform to your git repository and organize code and model outputs by project to improve transparency.
The adoption of AI (artificial intelligence) has accelerated. And those not yet embracing it risk falling behind. No matter where your company is on the AI adoption curve, ANS offers an avenue of entry. With a deep bench of Engineers, our offering spans pilot projects to a fully customizable AI platform that integrates with your digital transformation initiatives.
BIG DATA
Big Data, as the name suggests, deals with an astronomical amount of data that many organizations collect these days. Because such data sets and technology stacks are immensely complex and large, it becomes difficult to not just capture and store data but also share, analyze and visualize it.
Big Data, as the name suggests, deals with an astronomical amount of data that many organizations collect these days. In fact, such data is at times beyond the processing capability of conventional tools. With decision making and deriving of analysis being difficult with such huge data size, it leads to a massive loss of business opportunity for the organization. It is, hence, that Big Data solutions are availed which make it conducive and even affordable to perform computations on a large volume of data. Hence, resources like web server log files, sensor logs, the content of social media, photographic archives and others are computed with ease and that leads to better decision making.
With the volume and velocity of data with organizations having assumed colossal proportions, one requires efficient frameworks that can be utilized to manage big data. Hadoop is one such software which proposes reliable & scalable computation of data sets. It can be of immense value to those who have their network of operations spread across the geography of the globe. This is because Hadoop can facilitate distributed processing of big data. Such a feat can be achieved by just making use of basic programming models and given that it can all be based on the web; insights can very easily be communicated across offices & individuals.
DATA MANAGEMENT
When effective utilization and execution of Hadoop is carried out, it could enhance an organization’s data processing and management abilities. What used to happen in the past is that individual units of a large organization used to make use of expensive hardware structures to store as well as process data. This, however, would not allow parallel and instant processing of huge amounts of data. Such parallel processing can be possible with Hadoop where such processing can be done on scalable servers. Therefore, you do not just have to confine yourself to the transactional data to deduce insights but have access to enormous knowledge which could assist better decision making.