About - Innovatta

About Innovatta

We’re a group of creative thinkers who are crafting a vision for the AI-Enabled Future

Artificial Intelligence (AI) represents an interesting paradox. On the one hand, the goals of systems that can behave with the intelligence of humans, perceiving their environment around them, understanding and comprehending information and how to apply that information for decision-making, learning from experiences, and even greater ideas around consciousness and self-awareness have been lofty goals envisioned by computer science, brain and cognitive scientists, philosophers, engineers, and mathematicians since even before the birth of modern computing.

In the near future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice.

A positive future with Artificial Intelligence:
Many businesses and individuals are optimistic that this AI-driven shift in the workplace will result in more jobs being created than lost. As we develop innovative technologies, AI will have a positive impact on our economy by creating jobs that require the skill set to implement new systems. 80% of respondents in the EY survey said it was the lack of these skills that was the biggest challenge when employing AI programs.

It is likely that artificial intelligence will soon replace jobs involving repetitive or basic problem-solving tasks, and even go beyond current human capability. AI systems will be making decisions instead of humans in industrial settings, customer service roles and within financial institutions. Automated decisioning will be responsible for tasks such as approving loans, deciding whether a customer should be onboarded or identifying corruption and financial crime.

Organisations will benefit from an increase in productivity as a result of greater automation, meaning more revenue will generated. This thus provides additional money to spend on supporting jobs in the services sector.

How to take advantage of AI:
Due to the vast array of jobs that could be impacted by AI, it is fundamental to address the potential pitfalls of these technologies.
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Business need to overcome the trust and bias issues surrounding AI by achieving an effective and successful implementation that makes it possible for everyone to benefit.
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Governments must ensure that gains from AI are shared widely across society to prevent social inequality between those affected and unaffected by these developments. For example, this could be through increased investment into training.
With the additional cost-savings from implementing AI systems, employers should also focus on upskilling their current employees.
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To properly leverage the power of AI, we need to address the issue at an educational level, as well as in business. Education systems needs to focus on training students in roles directly associated to working with AI, including programmers and data analysts. This requires more emphasis to be put on STEM subjects (science, technology, engineering and mathematics). Also, subjects centered around building creative, social and emotional skills should be encouraged. Whilst artificial intelligence will be more productive than human workers for repetitive tasks, humans will always outperform machines in jobs requiring relationship-building and imagination.
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Artificial intelligence will change our world both inside and outside the workplace. Instead of focusing on the fear surrounding automation, businesses need to embrace these new technologies to ensure they implement the most effective AI systems to enhance and compliment human intelligence.

What we are best at

Our Services

DATA SOLUTIONS:

Data Transformation

Converts data from one format to another, typically from the format of a source system into the required format of a destination system.

Data Processing

Manipulation of data by a computer. It includes the conversion of raw data to machine-readable form, flow of data through the CPU and memory to output devices, and formatting or transformation of output.

Data Cleansing

Detects and corrects (or removes) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

Data De-Dup

Data deduplication is a technique for eliminating duplicate copies of repeating data. A related and somewhat synonymous term is single-instance (data) storage.

ML & DATA TOOLS:

Build Models

An ML model is a mathematical model that generates predictions by finding patterns in your data. ML Models generate predictions using the patterns extracted from the input data.

Model Training

In ML, a common task is the study and construction of algorithms that can learn. The data used to build the final model usually comes from multiple datasets.

Model Optimization

In ML, optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process.

Model Validation

In ML, it is the task of confirming that the outputs of a statistical model are acceptable with respect to the real data-generating process.

Testing

A test dataset is a dataset that is independent of the training dataset, but that follows the same probability distribution as the training dataset.

Deployment

Applying a model for prediction using a new data field, even if the purpose of the model is to increase knowledge of the data, the knowledge gained will need to be organized and presented in a way that the customer can use it.

INTELLIGENT SOLUTIONS:

Computer Vision

Is a scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos.

Natural Language Processing

Is concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

Biometrics

Is the term for body measurements and calculations. It refers to metrics related to human characteristics, and is used in computer science as a form of identification and access control.

APIs/SaaS

Is an interface between different parts of a computer program intended to simplify the implementation and maintenance of software. / Is a software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted.