The Future Of Artificial Intelligence (AI)
Infuse AI into your applications to make more accurate predictions, automate decisions and processes, and optimize employees’ time to focus on higher value work.
Build, run and manage AI models. Prepare data and build models anywhere using open source code or visual modeling. Predict and optimize your outcomes.
Today, everyone’s talking about Artificial Intelligence (AI) and how it’s going to change the way we conduct business, and live our lives, forever.
In fact, it’s shaping up to be the single biggest technology revolution the world has ever seen. It’s a completely new factor of production, capable of driving business growth by augmenting natural human expertise, taking automation to new places, and diffusing innovation throughout society.
In its wake, it’s creating a fast-paced, ever-shifting, competitive investment and research landscape. Private investment is booming, as companies continue to scale and industrialize their AI applications. A new cohort of AI-first businesses is flowing into the market, shifting the competitive landscape for incumbents. And as many as three-quarters of executives say that some kind of AI will be actively implemented in their organization within three years.
It’s happening because AI technologies are finally hitting the mainstream. Thanks to the combinatorial effect of today’s unprecedented levels of technology innovation in so many different fields, today’s AI applications can make use of virtually unlimited cloud processing, exponentially faster custom-designed chips, and ever greater levels of computational efficiency.
IBM Watson Studio
Build AI with IBM Watson Studio, implement across any cloud
Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture.
Realize results faster:
- Automate AI lifecycle management
- Govern and secure open source notebooks
- Visually prepare and build models
- Deploy and run models through one-click integration
- Manage and monitor models with explainable, trusted AI
Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala
Artificial Intelligence (AI) is a constellation of technologies that allows machines to sense, comprehend, act and learn in order to extend human capabilities.
End-To-End Strategy
To take advantage of AI, you have to move beyond proof of concept. Find out how to scale the impact of AI across your business for maximum value.
As the potential of AI grows every day, so does corporate pressure to use it. But in the rush to implement AI-powered solutions without a larger vision and strategy in place, initiatives often remain siloed with limited ROI potential.
How do you unleash the full power of AI? By transforming your entire business—not just in small pockets, but at scale. It all begins with a strong AI Strategy that empowers you to invest in the right systems, build responsible practices, and prepare your business and your people for tomorrow.
Develop An End-To-End AI Strategy
COGNITIVE COMPUTING
Cognitive computing algorithms try to mimic a human brain by anaysing text/speech/images/objects in a manner that a human does and tries to give the desired output.
NEURAL NETWORKS
Neural Networks work on the similar principles as of Human Neural cells. They are a series of algorithms that captures the relationship between various underying variabes and processes the data as a human brain does.
MACHINE LEARNING
ML teaches a machine how to make inferences and decisions based on past experience. It identifies patterns, analyses past data to infer the meaning of these data points to reach a possible conclusion without having to involve human experience.
DEEP LEARNING
Deep learning is a subset of machine learning where neural networks — algorithms inspired by the human brain — learn from large amounts of data. It teaches a machine to process inputs through layers in order to classify, infer and predict the outcome.
COMPUTER VISION & MACHINE VISION
Computer vision algorithms tries to understand an image by breaking down an image and studying different parts of the objects. This helps the machine classify and learn from a set of images, to make a better output decision based on previous observations.
Machine vision is the capability of a computer to perceive the real world environment through camera arrays and real-time image processing.
NATURAL LANGUAGE PROCESSING (NLP)
Natural Language Processing (NLP) provides the capability for machines to understand natural language—for humans to interact with databases in layperson’s terms across sources—strikes at the core of converting the unstructured data of language into informed action.
HYPERAUTOMATION
Robotics Process Automation + Artificial Intelligence
HyperAutomation brings together several components of process automation, integrating tools and technologies that amplify the ability to automate work.
It starts with Robotic Process Automation (RPA) at its core, and expands automation capability with Artificial Intelligence (AI), process mining, analytics, and other advanced tools.
HyperAutomation is redefining the way we work!
CONVERSATIONAL AI CHATBOTS
Build, deploy, and optimize AI-powered Chatbots
Conversational AI is the synthetic brainpower that makes machines capable of understanding, processing and responding to human language.
Using sophisticated deep learning and natural language understanding (NLU), it can elevate a customer’s experience into something truly transformational. Your customers no longer have to feel the frustration of primitive chatbot solutions that often fall short due to narrow scope and limitations.
DATA-DRIVEN APP DEV
Building Massive Data-Driven Apps @ Cloud-Scale
Sovereign develops modern data-driven apps with unlimited and automatic scalability, concurrency and instant elasticity built in from the beginning.
Our data cloud platform was uniquely designed with a multi-cluster, shared data architecture to handle the kind of massive-scale SaaS applications we build for our clients.
Digital Innovation Delivered!
We design, build and deliver technology-based innovations that create significant competitive advantage and revenue growth potential for our clients.