Making real-time decisions requires an updated data architecture and data modernization is vital to becoming a digital business. It is impacting business revenue positively and systematically through the use of data. For businesses to succeed, they must have access to actionable data, anticipate market changes, and quickly scale operations. It is crucial for companies to transform how they source, interpret and consume information. To achieve this requires flexible data structures and a modern data and analytics platform capable of transforming chaos into insights and actionable intelligence. Enterprises can unlock the potential of artificial intelligence to monetize data by evolving their approach to data and data management. As a result, the organization is delivering better customer experiences, driving top-line growth, reducing costs, and gaining a competitive advantage. Bayshore as a strategic partner increases business value with data insights improves analysis times and reduces the cost per insight, along with modernizing the data ecosystem and building platform-led operations based on AI. Additionally, we can provide solutions for various stages of the insight journey, such as modernizing data ecosystems, managing enterprise data, and accelerating value.

Taking smarter decisions faster and making the right decisions at the right time is the key to success for any business. Nowadays, businesses succeed or fail based on the speed and quality of their decisions. The best decisions are those that are informed by data and artificial intelligence, no matter if the goal is revenue, profitability, a competitive edge, or all the above. Businesses make the best decisions when they know what is happening, why it happened, and how the next step will be. Artificial intelligence-based algorithms can help to provide that insight. This allows leaders to take action that will result in improving operations, reducing costs, saving time, or boosting profitability, sales, and productivity. We offer Intelligent Decisioning Services to improve operational and customer-facing decision-making processes using advanced methods and tools. This helps businesses make faster, better decisions in times of uncertainty. Our innovation goes beyond insights to inform and augment business decisions. Tapping deep wells of information, including real-time data, is only the beginning. True differentiation comes from quick insights that can be transformed directly into action informing the right decision at the right time. Today's advanced technologies can process terabytes of data, gain insights from that data, and transform those insights into action. Businesses can now make fast and confident decisions based on highly informed information. Using artificial intelligence and machine learning, we are building an ecosystem of data-driven decision-making that enables business leaders to respond more effectively to change, accelerate growth, improve efficiency, and enhance customer experiences.

A modern digital enterprise cannot function without data. In particular, digital platforms and applications must be able to deliver value-added functionality and services based on historical and real-time data in order for them to be effective. Globally, businesses constantly strive to differentiate themselves and their offerings from a crowded market. Some business leaders pursue distinction through product leadership, while others focus on operational excellence or superior customer intimacy. Data is the key asset that every organization needs to develop in order to transform in this digital era. With data and analytics at the heart of how businesses are transforming, it has become the DNA around which they operate. The goal of today's businesses is to convert their structured and unstructured data into valuable insights in real-time. Whether it's large-scale digital transformation projects or small sandbox initiatives, we help businesses become more data-driven by generating actionable insights from their data. Regardless of the strategy adopted, harnessing the true value of their biggest asset, data, becomes critical to unlocking new insights and discovering new business opportunities. The volume of data (structured, unstructured, and semistructured) carrying critical information swells in today's globally interconnected world. Due to the rapid growth of information, extracting information from unstructured, diverse data sets is posing a unique challenge. Big Data has the potential to address these challenges through Business Intelligence (BI) & Analytics. Continuous innovation has made this process fast, secure, error-free, and has enabled deeper and hidden insights to be easily discovered. In the same vein, the Data & Analytics practice integrates data and delivers insights across the global digital ecosystem by connecting businesses, platforms, customers, employees, and partners. With our strategic consulting and implementation services, we cover the entire information and insight lifecycle for our customers. Our data & analytics services can be leveraged in a standalone fashion by companies looking to expedite their "data-to-value" cycle. Additionally, data scientists and analytics experts from within the Data & Analytics practice work closely with our digital consulting and digital applications services groups. This ensures that the full power of data & analytics is leveraged by the digital transformation blueprints that we design for our customers.

The term Intelligent Automation refers to an advanced form of automation, featuring machines that mimic human actions and possess cognitive abilities, including natural language processing, speech recognition, and computer vision technology. Such intelligent machines decipher a vast amount of structured and unstructured data, analyze, understand, and learn it on the fly, and intelligently automate processes to boost operational efficiency as well as business efficiency. Automation is becoming more and more common in the digital world, and technologies are evolving and adding more human capabilities to machines each day. Automating processes and utilizing AI to increase business efficiency and smart processes are essential in creating exceptional experiences - the ones that are not only personally tailored, but also distinct enough to keep customers coming back. While AI and automation are not new concepts in the technology landscape, advances in digital technology, sensors, and increased computing power have enabled these concepts to spread far and wide in the global business world. Take a moment to see the differences between Intelligent Automation and automation. The process of automation seems to involve the transfer of tasks that humans perform to machines. Nevertheless, in reality, automation is fundamentally transforming the way business processes work. Several different types of automation exist, including fixed automation, programmable automation, robotic process automation, and robotics. Intelligent Automation differs from normal IT automation, given the addition of Machine Learning and Artificial Intelligence capabilities. In the case of intelligent automation, however, the system will identify the problem and self-correct it without human intervention. As a result of self-learning and the application of intelligence, businesses become more efficient in terms of time and effort and improve customer service. By combining advanced smart technologies and agile processes, intelligent automation enables humans to make more intelligent decisions faster. IA benefits businesses in the following ways:

• Process optimization
• Enhancing customer experience
• Optimizing back-office operations
• Lowering risks and costs
• Improving workforce productivity
• Fraud detection and monitoring
• Innovating products and services

The adoption of digital automation is now a key imperative to help organizations optimize their business processes and reduce their manual intervention. The Digital Workforce makes it possible for enterprise-wide digital transformation to be implemented in its true sense by automating activities up the value chain. Today, businesses must be resilient, grow, thrive, innovate, and become adaptive live enterprises. As a result, transformation is paramount, and its implication is a survival requirement. The decision to respond with technology alone seems natural but unrewarding for even the most established companies. Bayshore's offering focuses on three core areas of enterprise digital transformation: Customer Experience, Customer Engagement, and Operational Efficiency. To achieve the best customer experience, we focus on NLP, personalization, and Omnichannel user experience. With our DBPA offerings, we enable automation using cognitive technologies to detect and act. For our customers, DBPA utilizes both RPA and DBPA technologies, as well as API management, traditional BPM, basic case management, and Enterprise Service Bus integration, to provide end-to-end automation solutions. We realized this when we created a strategic transformation approach that amplifies the core and creates new capabilities that extend value beyond the transformation. DBPA provides our clients with the approach, mindset, and platform services they need to respond and grow with data-driven decisions and cognitive actions. By using fluid DBPA, you can not only respond to disruptions, but also the following.

• Adapt and lead your business as the market changes
• Swiftly and flexibly Deliver new CX
• Embrace high productivity
• New product innovations to stay on top of the competition

The process combines capabilities such as Process Mining, sensors, OCR, Stream, and Machine/Human signals processing. Our key competencies include Process Modeling, Process Optimization, Document Analysis, and Natural Language Processing. Additionally, we support Low Code/No Code capabilities such as Case Management, Automation Bots, API and Integration, Business Rules Management, and Data Virtualization. Our Next Best Action, Reinforcement Learning, Machine Learning, and Decision Strategies help businesses to learn, evolve, and to grow.

Machine Learning

As part of its AI capabilities, machine learning identifies patterns through the analysis of chunks of data as well as relating them. In such systems, no explicit programming is necessary, as the algorithms and Big Data are used to learn how to execute the task automatically and autonomously. Using machine learning in enterprise applications, businesses can make better decisions, increase productivity, automate processes, and detect anomalies faster. The Machine Learning solutions we offer include:

• Deep Learning
• Predictive Modeling
• Statistical Modeling
• Data Mining
• Supervised Learning
• Unsupervised Learning

The field of machine learning has progressed beyond research and development driven by digital-first companies. Availability and affordability of emerging technologies coupled with a massive increase in digital data are enabling organizations to explore machine learning possibilities. Business models powered by machine learning have reached new heights of competitive significance, and organizations must adapt or face extinction. In today's digital age, custom solutions need to process high volumes and run sophisticated algorithms that enable them to learn how to perform tasks independently. We offer Machine Learning solutions to help organizations learn and assist our customers in making better business decisions, enhancing productivity, automating processes, and detecting anomalies more quickly.

Natural Language Understanding

Modern customers expect digital technology to be as intuitive, interactive, simple, and context-sensitive as possible. Companies need to modernize their IT infrastructure and enhance their applications with conversational intelligence to keep up with disruptions. By leveraging Natural Language Understanding, organizations can develop custom solutions that determine concepts, emotions, entities, keywords, metadata, relations, semantic roles, and sentiment from texts.

• Conversational AI & Chatbots
• Speech / Voice Recognition
• Information Extraction
• Question & Answer
• Search & Retrieval

The vision of Bayshore is to empower organizations to deliver innovative and contextually relevant digital experiences that are highly interactive and refreshingly human.