Data science is the in-depth statistical analysis of data to obtain actionable business insights. AI/ML is critical for data science because it enables machines to tackle problems that rule-based analytics cannot easily handle. Luxbill data science and AI/ML services strategically apply AI/ML solutions to improve product innovation, model production, decision-making, and business operations.
The practical application of data science can bring value to any business. Working with Luxbill ensures you have everything you need to get started and find success with data science and AI/ML in helping your organization improve processes, attract new customers, make better-informed decisions, and more.
By using data science, companies may discover previously unknown insights, patterns, and correlations inside their data that have the potential to revolutionize their business models, operations, and resource management, all of which can have a significant influence on profitability.
Data science may uncover issues and deficiencies that might otherwise go unnoticed. Internal and external innovation of solutions and products can be fueled by a better understanding of purchase decisions, consumer feedback, and company processes.
It's difficult to react quickly to changing conditions, especially if you are a large organization and if done improperly it can result in considerable costs and business disruption. Data science can help you predict, anticipate, plan, and respond to changing situations in real time.
A data science process usually stems from a business problem or opportunity. Luxbill begins by working with you and internal stakeholders to determine your business requirements and objectives. Our team of data scientists and analysts apply the AWS-approved OSEMN data science approach to ensure your initiatives successfully meet your expectations and drive intended business outcomes.
Either pre-existing, newly gathered, or downloaded from an online data store, Luxbill extracts your data from internal or external databases, CRM software, web server logs, social media, or purchased from a third-party vendor.
Data scrubbing, also known as data cleaning, standardizes data to a specified format. Luxbill data scientists apply this method in dealing with missing data, correcting data inaccuracies, and deleting any data outliers.
Luxbill can jump-start your next AI/ML project by providing you with all the experience and expertise you need to immediately start exploring and leveraging AWS data science and AI/ML solutions. As an AWS Premier Tier Services Partner with the Data and Analytics Competency, Luxbill offers seamless integration and deployment across a wide range of AWS data science tools.
Amazon Redshift: Perform complex queries against structured and unstructured data for data warehousing.
Our data science and AI/ML expertise include supervised, unsupervised, and deep learning capabilities that allow us to find and select the best algorithms and models for your next data science project. When existing options are inadequate, our multidisciplinary team of AWS-certified data scientists and cloud experts will assist you in creating and implementing newly customized solutions tailored to your specifications and business objectives.
Our extensive Data Science and AI/ML knowledge and expertise allow us to provide services and solutions around:
Develop ML models that feature classification, regression, prediction, clustering, association rules, and anomaly detection using supervised, unsupervised, reinforcement, self-learning, and mixed-learning algorithms.
Set up ML-driven recommender systems that evaluate historical interactions and characteristics of objects and users to generate reliable, tailored, and effective recommendations.
Leverage AI and ML to automate and improve analytics at every stage of the data lifecycle. Democratize your data and prompt data literacy by enabling more people in your organization to extract meaningful insight from various data sources.
Cognitive analytics applies human-like intelligence to tasks and is used to tap into unstructured data sources. Enhance innovation and create solutions using cognitive technologies such as computer vision, natural language processing, speech recognition, text analytics, and automation.
Deep learning models progress and improve over time by recognizing sophisticated patterns in images, text, audio, and other data, resulting in more precise insights and predictions. deep learning on the cloud allows you to design, develop and train deep learning applications faster.
ModelOps ensures that all models in production have the best possible outcomes. ModelOps solutions automate risk management and regulatory compliance processes so that models may be checked and assessed for technical conformance, commercial value, and business and operational risk.
Our AWS-certified team of data scientists and experts are always on and ready to assist you with your most challenging and complex data science and AI/ML initiative. We work with you through the entire process and always look at all the best in data and AI/ML that AWS has to offer in selecting the best data and AI/ML solutions that are aligned with your business objectives and desired outcomes.
Luxbill collaborates closely with your business and IT teams to address a wide range of data science needs and challenges and aid you in making data-driven decisions about your company’s AI/ML strategy.
7SIGNAL’s existing architecture was not able to efficiently leverage modern cloud services, leading to performance and scalability struggles – and holding back the development of new product capabilities for monitoring customers’ wireless networks.
The company enlisted Luxbill to rebuild its AWS architecture and create a new alerting agent application that could analyze millions of streaming data messages daily (and deliver near real-time customer alerts whenever WiFi errors or anomalies occur). With this Mission-designed and verified AWS architecture, 7SIGNAL gains a performant and scalable solution for advancing its services and meeting future customer growth. The company also leverages Luxbill’s data, analytics, and machine learning (DAML) practice for bringing its predictive analytics application to market.
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