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Ishraak Solutions Limited is a technology solutions provider. At Ishraak, we love solving pressing problems to make the world a better place. We continuously try to make the best use of Artificial Intelligence and Machine Learning to offer the best possible solution for any given problem.

We offer services like AI-driven solution development (such as Chatbot, Face Recognition, etc.), software development(web and Mobile), ERP Consultancy, and Professional Training.

We differentiate ourselves by following world-class standards and being cost-effective for our clients. We use Agile Project Management, Test Automation, Automated Deployment to ensure early and frequent delivery of high-quality products to the clients.

To ensure the best possible outcome, we try our best to offer the teams a great working environment. Competitive benefits packages, twice-a-year performance reviews, fully subsidized food, table tennis, and indoor gym are only a few of them.

Technology We Use

Machine Learning (ML)

In a straightforward term, to answer complex questions from the massive amounts of data machine learning is the perfect tool.

Machine learning (ML) extracts meaningful insights from raw data to quickly solve complex, data-rich business problems. ML algorithms learn from the data iteratively and allow computers to find different types of hidden insights without being explicitly programmed to do so. ML is evolving at such a rapid rate and is mainly being driven by new computing technologies.

Machine learning is a subset of artificial intelligence (AI) that seeks to analyze patterns in data to advance decision-making and learning. Though we might not notice machine learning, it’s everywhere in our lives. When we browse sites like Netflix or YouTube, we are recommended certain videos and shows to watch. That’s machine learning! Companies like Amazon or Google are also creating smart speakers that utilize machine learning, e.g., Siri, to become our personal assistants.

Physical Restrictions are removed by ML

Consumer’s deeper understanding is provided by ML

ML automates Processes, Thereby Boosting Efficiency

Machine Learning in Business

Machine learning in business helps in enhancing business scalability and improving business operations for companies across the globe. Artificial intelligence tools and numerous ML algorithms have gained tremendous popularity in the business analytics community. Factors such as growing volumes, easy availability of data, cheaper and faster computational processing, and affordable data storage have led to a massive machine learning boom. Therefore, organizations can now benefit by understanding how businesses can use machine learning and implement the same in their own processes.

Why Machine Learning is important?

People and devices continuously generate data, and they aren’t stopping anytime soon. Data is the life of all businesses because it allows us to automate tasks and make data-driven decisions, which, in turn, eases our everyday lives.

Before, people had to analyze data to make decisions manually. However, as the amount of data in this world expands, it’s increasingly important to utilize AI and machine learning to capture data fully.

Our Development Process

We believe in constant innovation and improvements. We practice Agile methodology which emphasizes communication and collaboration. Agile software development emphasizes four core values.

Individual and team interactions over processes and tools

Working software over comprehensive documentation

collaboration over
contract negotiation

Responding to
change over following
a plan

Our team is highly flexible to adapt to the constantly changing business realities. It helps us to successfully manage and accomplish the goals of our customers’ projects within specific deadlines by following global standards.

We diligently practice the SCRUM development method which greatly assists us to effectively manage the assigned tasks within our team-based development environment. Scrum empowers our development team and is most suitable for managing multiple projects by working in small teams.

We have also adopted Test Driven Development and Continuous Integration among the different agile practices.