What is Data Science Consulting?
SFL Scientific works to uncover business value for its clients through cutting-edge machine learning and Artificial Intelligence technologies and solutions. Even if a business is uncertain of exactly how to leverage data and maximize ROI of being a data-driven business, SFL has the expertise and know-how to lead a client from project inception to integration and deployment.
We develop and implement comprehensive data strategies starting from business use case. We provide this customized service to your company by leading projects, performing R&D, or supporting your data science and IT teams to deliver on project goals, without pushing a 'one-size-fits-all' platform approach.
We are industry agnostic, with expertise and domain knowledge across verticals. Our solutions and methods are tailored to your specific problem, transforming current workflows, automating processes, and giving you the flexibility to consume the information in a predictive or prescriptive manner. Without actionable feedback back to the business, a data scientist's effort is not complete.
Landscape & Approach
The amount of data being collected is growing at rates which are unprecedented. According to research, the volume of business data worldwide, across all companies, doubles every 1.2 years. By 2020, it is estimated that the accumulated volume of big data will increase from 4.4 zettabytes to roughly 44 zettabytes (or 44 trillion GB). Today, enterprise strategy teams are looking to leverage predictive analytics and automation to drive business value from that collected information, freeing up time for strategic initiatives and drive innovation. According to a recent report by MITSloan entitled, Reshaping Business With Artificial Intelligence, "almost 85% of executives believe AI will allow their companies to obtain or sustain a competitive advantage. But only about one in five companies has incorporated AI in some offerings or processes."
The advancements in cloud computing capabilities are rapidly advancing the field of ML and AI. Now, the analysis of “big” data is possible for even the smallest of startups. Any business that does not leverage data to drive revenue and make more informed decisions will be at a significant competitive disadvantage.
Virtually every aspect of a business is now open to data collection. We believe that this data revolution spans industries, with data collection categorized into four main types: Text, image, time-series (signal, time events), and consumer & company information. Collectively, a business' decisions also converge a number of outcomes: Increasing speed to market, increasing sales, lowering costs (ex. through automation), providing better or more efficient services, increasing quality (ex. manufacturing QC), increasing market share, or adding a new product or service to your offerings. While the information, product, service, and goal is different for each business, it is important to take the same holistic data strategy approach for each problem in building out data science solutions.
We're led by a team of accomplished data scientists (Leadership Team) with a proven track record of generating ROI for our clients (Our Work). As a full-service and technical consulting firm, we apply a research and development approach to investigate the best possible outcome for each problem, and execute the vision at the highest level. We examine each data source, input, and engineering solution to determine if something valuable, automated, or predictive can be created.
It is important for consultants, data scientists, and engineers to work together, and analyze business processes to pinpoint areas of restructuring and improvement. Technologies and tools such as deep learning can affect backend activities is so many ways, that it is critical to explore and leverage how data pipelines and their targeted intelligence can augment complex workflows. For more information, please contact us or visit our industry specific solutions.
SFL Scientific is industry agnostic. We are able to provide both “big” data and “small” data solutions to generate ROI. A small subset of our services:
- Price and Promotion & Incentive Strategy
- Campaign Effectivness
- Consumer Behavior & Segmentation
- Customer Churn and Lifetime Value
- Disease Detection
- Population Health & Classification
- Electronic Health & Medical Record Analysis
- ER and Hospital Optimization
- Supply Chain & Logistics
- Quality Control Automation
- Preventative Maintenance
- Demand Forecasting & Optimization
- Small Molecule & Compound Analysis
- EHR & Clinical Trial Optimization
- Real World Data Analysis
- Pre-Clinical Automation
Tools & Technologies:
Python, R, NLP, Supervised and Unsupervised Machine Learning, Deep Learning & Neural Networks, Hadoop, Spark, Tensorflow, Keras, AWS, NVIDIA GPUs, Microsoft Azure, and many more.
Natural Language Processing:
- Document Extraction, OCR
- Text Summarization, Topic Modeling
- Chatbots, Recommendation Engines
- Call Centers, Audio to Text
- Image & Video Analysis
- Object Detection & Segmentation & Tracking
- Medical Images, Manufacturing, GIS, etc.
- Noise Removal and Calibration
- Fraud & Fault Detection
- Event & Risk Analysis
- Device & Hardware Usage and Monitoring
- Signal Analysis and IoT
- Financial Prediction
- Sales Forecasting
- Consumer and Device Behavior
Data Science Success:
For any AI endeavor to be successful, it must be rooted in a sound business strategy, shared long-term vision amongst senior leadership, and a rigorous discovery process.