AI & Data Analytics
Data-driven innovation is key for business success. Alter Solutions masters advanced Artificial Intelligence (AI) and Machine Learning (ML) tools to help you reach that next level.
What is AI & Data Analytics?
AI and Data Analytics are a symbiotic duo responsible for analysing vast amounts of data, uncovering valuable insights, driving strategic decisions and business growth.
The ability to learn from data and automate processes, enabled by Machine Learning algorithms, is also a big part of AI & Data Analytics – it helps companies achieve higher efficiency and growing business success.
Within the AI & Data Analytics spectrum, there are several services that Alter Solutions provides to help your business thrive. Find out more about each of them.
A growing trend
48%
Businesses using some form of ML, data analysis, or AI tool to maintain the accuracy of their data
Source: Exploding Topics
64%
Businesses that anticipate AI will improve customer relationships and increase productivity
Source: Forbes Advisor survey
AI & Data Analytics with Alter Solutions
We offer several data services powered by Artificial Intelligence, that can make a huge difference on business performance:
Data platforms
We design, architect, and deploy Big Data platforms like data lakes (for structured and unstructured data) and data warehouses (for highly structured and processed data). Both solutions leverage AI algorithms to automate data ingestion, cleansing, and organisation.
Data science & Business Intelligence (BI)
We master advanced AI tools that help turn raw data into useful, compelling, and easily understood business information (a.k.a. data science / data visualisation). Then, those tools – especially ML – can help analyse that information to create valuable insights and facilitate informed decision-making (a.k.a. BI).
Data inception & MLOps
We define, right from the start, crucial business metrics to respond to each organisation’s needs and demands (data inception). The backbone of that process is Machine Learning Operations (MLOps), which provides a framework for building and deploying ML models to achieve those metrics.
Internet of Things (IoT) and Intelligent Apps
The intersection of data and AI leads to the development of connected (IoT) and intelligent applications to optimise operations, drive innovation, detect and predict anomalies, allow greater autonomy, and ultimately increase business value.
Data governance
Our AI & Data Analytics services ensure compliance with GDPR, NIS 2, and other relevant regulations. We maintain data security, integrity, and confidentiality at the centre of everything we do.
Discover our Business Performance service
Why AI & Data Analytics are crucial to business success
Organisations that leverage AI & Data Analytics services can benefit from:
Improved data quality
Artificial Intelligence and Machine Learning tools are capable of handling data coming from multiple sources, in real time, uncovering complex patterns and trends that drive valuable business insights.
Greater speed and efficiency
AI-powered data science facilitates and automates the process of analysing huge amounts of data within short periods of time, helping businesses gather strategic information, develop predictive capabilities, and take better-informed decisions.
Competitive advantage
By keeping up with the latest technologies in Big Data, organisations are able to better understand customers’ behaviour and needs, improve customer experience more rapidly, thus staying ahead of competitors in their industry.Cost savings
Automating complex data analysis tasks allows companies to reduce human error and operational costs, improve efficiency, and free up their experts to focus on more strategic activities, which ultimately drives higher business success.Getting started with AI & Data Analytics
Alter Solutions can help you start implementing a successful AI & Data Analytics strategy. Here’s how:
Identify relevant use cases
The first big step is to have a clear understanding of what your company’s specific needs are. Then, we can help you identify relevant use cases that may serve as a starting point.
Ensure conditions for deployment
Having solid data science practices is key to develop any AI product. It is also necessary to ensure compliance with data privacy regulations and to make sure there is a qualified multidisciplinary team of experts to keep the work going.
Define roadmap
Establishing steps and deadlines for a successful implementation is a crucial part of the process. We help you define that strategy carefully before jumping into the implementation itself.
Implement
This is when your AI & Data Analytics projects actually start coming to life. Some things will go as planned right from the beginning, while others will need adjustments as you go. We’ll be there every step of the way.
Monitor and adjust
We can help you monitor progress, address potential risks or issues, revise what is necessary, and make sure that your transformative roadmap towards AI & Data Analytics crosses the finish line.
Scale
Now that the pilot use cases are implemented, and that the process has been refined, it is time to restart the cycle and implement new AI & Data Analytics projects to help your business thrive.