We define the next generation of Ai solutions. Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond applications
We use “the data the company has and get it in front of the right people” going beyond analyzing inbound data feeds to greater digital adoption that can monitor the market at scale, enabling you to separate signals from the noise
Our integrated state of the art science gets machines to act without being explicitly programmed in engineering the best way to make progress towards human-level-Ai, without bias!
By leveraging software and services to transform data into actionable insights that inform an organization’s business decisions
We believe challenges present an opportunity to enrich the Ai toolbox with methods built for a complex, data-rich world. By envisioning our work as Rockwall Analytics, we can shift the focus of our experimentation away from replication towards a more rewarding aim: empowering individuals, in all their cognitive and behavioural diversity, to make better decisions based on their own data and preferences. We have already seen this approach bearing fruit commercially, especially for innovative players in the tech sector, and we expect this to be widely emulated. Any firm seeking to fully use the individual-level data it holds will benefit from developing a combined behavioural and data science methodology
Data Analytics and Ai are growing to be a ubiquitous need in the modern enterprise ecosystem. Our need for analytics is ranging from basic descriptive and diagnostic analytics to advanced predictive, prescriptive, and cognitive analytics. However, the barrier of entry is high due to expensive infrastructure and highly skilled resource requirements. Rockwall Analytics aims to eliminate this barrier by introducing services and products that make it easy for businesses to embrace data science and gain data intelligence
The Firm is founded and led by Rihad, a data scientist with an interest in deep learning, machine learning and statistical modeling. Before Rockwall Analytics, Rihad was the Senior Data Scientist Managing Partner at Malastare.ai, an Analytics Consulting Firm in Dallas, TX, USA, where he applied statistical techniques to improve operational aspects in Fintech industries (e.g. pattern detection, anomaly detection, predictive modeling, customer data analysis, fraud detection and prevention, etc.) Rihad also headed the firm's global Fintech Research, responsible for overall vision and strategy, investment priorities and offering development. He worked closely with clients, helping them adopt new technologies that can transform the way they transact and engage with their customers by building modern software applications across multiple industries. Rihad has completed various Data Science Immersive Programs Certifications
The Data and Analytics organization at Rockwall Analytics is the DNA of the company. The DNA encodes the essence of existence and character that drives continuous innovation with data, continuous insights with analytics and continuous evolution with cutting-edge data products and services. Our vision is to be the trailblazer in Connection Science driven information services that create meaningful value for our customers. Our mission is to enable cutting-edge data products and services delivered through superior data, unique insights and top-of-the-class technology solutions. We believe in developing a Collaborative, Creative, yet Competitive, Customer-Centric culture. We are shaping the present and the future landscape at Rockwall Analytics
Every day, the world generates roughly 2.5 quadrillion bits of data. To isolates certain elements and analyzes, simplifies, and edits them to make precise and valuable decisions that drive results. As one of the few companies capable of knowing with certainty who is on the other end of every interaction, we aim to be trusted by the world’s great brands to make critical decisions some 20 billion times a day
Chief Innovation Officer
Data Scientist
Data Engineer
Data Scientist
We're bridging the gap where only in the last few years big data became the buzz phrase that confused many and overwhelmed many more, and a future so rich in technology and amazing features we can use to solve our hardest problems