Artificial Intelligence

AI refers to the ability of machines to exhibit human-like intelligence—for example, solving a problem without the use of hand-coded software containing detailed instructions. There are several ways to categorize AI technologies, but it is difficult to draft a list that is mutually exclusive and collectively exhaustive because people often mix and match several technologies to create solutions for individual problems. Some frameworks group AI technologies by basic functionality, such as text, speech, or image recognition etc. Machines powered by AI can today perform many tasks—such as recognizing complex patterns, synthesizing information, drawing conclusions, and forecasting—that not long ago were assumed to require human cognition. And as AI’s capabilities have dramatically expanded, so has its utility in a growing number of fields.

Machine Learning with our Data Scientist Experts


Leading organizations in almost all industries are embracing advanced analytics as they start to realize the vast opportunities and impact it can bring to solving complex business problems using machine learning. This is a computer’s ability to learn without being explicitly programmed to and explore the construction of algorithms that can learn from and make predictions on data. We are going beyond business intelligence by using machine learning to help our clients achieve business insights and customer understanding. Rakiura data scientists work with subject matter experts and use machine learning algorithms to create predictive models that provide value add to our clients by potentially identifying new revenue channels, providing cost savings, retaining customers/employees, and optimizing business processes. Opportunities exist to affect both top and bottom line aspects of the business.

Deep Learning


Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. Our innovating Deep Learning software enables machine factories and robotic integrators to apply robots for NEW sectors like warehousing, manufacturing, logistics, horti and agriculture.

Analytics


Digital transformation for an organization means fundamentally changing how they do business, and for ultimate success, customer-centricity must sit at the hub. Big data and analytics are only as potent to an organization as the questions that are asked of the data. Asking the right questions drives insights that can steer the organization toward owning their customer's journey, thereby circumventing the potential of being disrupted by a competitor. Many companies can get overwhelmed by the digital transformation imperative, but I believe it's the questions asked of the data, and the insights gleaned that give a much clearer picture to the organization of where they need to start and how they need to progress forward. Digital is ubiquitous, so understanding your customer journey, how your internal teams are communicating and accomplishing their goals, how your organizational culture is structured around progress, innovation, and supporting agile, is critical.

Big Data


Rakiura can help you connect the dots of your Hadoop strategy with vendor neutral advisement on identifying the right open source technologies, use cases and best practices for your research and performance needs. We can provide an instructional framework for preparing a case for Hadoop to help you foster executive and stakeholder support for your big data program.

Internet of Things(IoT)


IoT enables new models from micro-cost.IoT enables teams, organizations, and industries to embed sensors in virtually anything, connect those things to networks and gain additional streams of real-time data to enhance analytics and pattern recognition to drive actionable insight, efficiency, customer engagement, and automation — often identifying and avoiding challenges before they occur or capturing new opportunities. From industrial machinery to wearable devices and beyond, IoT is part of the foundation that takes AI from artificial to augmented levels of intelligence, value, and action.

Blockchain


Block chain will change the current business process about the way we do business. Block chain will secure accounting, inventories, shipping, and every type of shared database — eliminating much of the drudgery and tasks of accounting department and other job functions and reducing costs.

Chatbot


Chatbots are providing customer service. The age of the connected consumer has arrived. The world population that owns a mobile device today, is five billion, and more than three billion can instantly connect with anyone in the world through the internet. Is your business using chatbots, or any of the other AI tools? Adopt chatbots to enhance consumer experience.

Design Thinking


A design mindset is not problem-focused, it's solution focused and action oriented towards creating a preferred future. Design Thinking is a methodology used by designers to solve complex problems, and find desirable solutions for clients.

Data Intelligence


Through the actionable analytics of data intelligence, you can discover the smartest business solutions for your data enterprise strategy. As part of our advanced data management services, we bridge the gap between your existing data platforms/architectural toolset and emerging technologies while developing improved processes and methodologies for your data enterprise strategy.

Robotics Process Automation (RPA)


Applications of RPA are adding the most value to clients who have manual, high-volume, repetitive processes involving structured data, such as transaction processing. Increasingly, robotic process automation (RPA) is seen as a quick way to reduce costs and improve performance, with software automates tasks performed by humans.

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