Artificial Intelligence Changing Commerce and Finance
Senior AI / ML Consultants in Dallas, Texas
Specializing in developing custom AI / ML apps, scripts, BI and software and we can help consult you on the best practices for your operations.
Our team can help you with algorithms, database’s, back-end/front-end systems, predictive analytics, business intelligence, image recognition, and web. Let us transform your business with new AI ML IoT technologies applied to finance.
AI Operating Systems & Machine Learning
We can help you build AI systems from the ground up to help you with machine learning models, algorithms, business intelligence tools, or any other ideas you are looking to explore.
Machine Learning
Machine learning is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through learning from data. Instead of being explicitly programmed to perform a certain task, machine learning algorithms use patterns in data to make predictions or decisions. There are several types of machine learning, including: Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Reinforcement Learning, Deep Learning, and Transfer Learning.
Robotic Process Automation (RPA)
Our AI developers create and integrate robotic process automation (RPA) programs to streamline workflows, including extracting structured & semi-structured data from documents, copying & pasting data, moving files & folders, scraping browsers, making calculations, and more to allow for superior scalability and flexibility within an enterprise.
Natural Language Processing
NLP can be used in many ways to enhance business capabilities, improve operations, and analyze data in ways that give you a competitive advantage. NLP programming languages helps to in many ways such as identification of emerging trends, the provision of operational insights, and the development of predictive models using techniques from the field of machine learning and artificial intelligence.
Intelligent Document Recognition
Our expert AI developer teams build intelligent, robust, and reliable document recognition programs for AI applications, designed to quickly extract metadata and classify information from a wide range of document types, that enables users to search for documents easily on a centralized platform.
Regulatory Compliance Monitoring
We leverage AI programming languages to process large volumes of big data with advanced speed and accuracy to transform your regulatory compliance monitoring system. We develop AI applications that can read and interpret compliance documents to deliver actionable insights and ensure that operations keep up with all emerging compliance requirements.
AI Examples
Artificial Intelligence (AI) has revolutionized decision-making processes within the financial technology (fintech) industry. It has brought about numerous applications and benefits, from improving customer experiences to enhancing risk management and fraud detection. Here are some key areas where AI is applied in fintech decision-making:
Customer Service and Engagement:
- Chatbots and Virtual Assistants: AI-powered chatbots provide 24/7 customer support, answer inquiries, and assist with account management.
- Personalized Recommendations: AI analyzes customer data to offer tailored product recommendations, such as investment options or financial advice.
Credit Risk Assessment and Lending:
- Credit Scoring: AI algorithms analyze a wide range of data, including non-traditional sources like social media and transaction history, to assess creditworthiness accurately.
- Loan Underwriting: AI automates the loan underwriting process by evaluating applicant data and making lending decisions quickly.
Fraud Detection and Prevention:
- Anomaly Detection: AI identifies unusual patterns in transactions to detect potential fraud or unauthorized access.
- Behavioral Analysis: AI models monitor user behavior to recognize deviations from normal activity, signaling potential fraud.
Algorithmic Trading and Investment:
- Algorithmic Trading: AI-driven algorithms execute trades at high speeds based on market data, optimizing trading strategies.
- Portfolio Management: AI analyzes market trends and risk factors to recommend investment strategies and manage portfolios.
Regulatory Compliance:
- Transaction Monitoring: AI helps financial institutions detect suspicious transactions and ensure compliance with anti-money laundering (AML) and know your customer (KYC) regulations.
- Reporting and Audit Trails: AI systems generate comprehensive audit trails and reports for regulatory compliance and auditing purposes.
Payment Processing and Fraud Prevention:
- Real-time Transaction Monitoring: AI evaluates transaction data in real-time to detect fraudulent activities or unusual payment patterns.
- Payment Authentication: AI enables biometric and behavioral authentication methods, enhancing payment security.
Customer Insights and Market Analysis:
- Sentiment Analysis: AI analyzes news articles, social media, and market data to gauge market sentiment and inform investment decisions.
- Predictive Analytics: AI models forecast market trends and customer behaviors, aiding investment and product development.
Robo-Advisors:
- Automated Financial Advice: AI-powered robo-advisors offer personalized investment advice and portfolio management services to retail investors.
Cybersecurity:
- Threat Detection: AI helps detect and respond to cybersecurity threats by analyzing network traffic and identifying potential vulnerabilities.
Blockchain and Cryptocurrency:
- Transaction Verification: AI can be used to verify cryptocurrency transactions and monitor blockchain networks for irregularities or fraud.
Quantitative Analysis:
- Risk Assessment: AI models assess market and credit risk, helping financial institutions make informed decisions about asset allocation and risk management.
AI has enabled fintech companies to automate and optimize various processes, reduce operational costs, enhance decision accuracy, and offer more tailored financial products and services to customers. However, it also brings challenges related to data privacy, ethics, and regulatory compliance that must be addressed in order to ensure responsible and secure AI adoption in the fintech sector.
Data-Driven Decision Making
We’re using the transformative nature of AI in the e-learning & education industry by providing personalized learning experiences, improving student engagement, and automating administrative tasks. It offers adaptive learning, customized assessments, and intelligent tutoring, improving learning outcomes and reducing dropout rates. Plus, AI-powered chatbots and virtual assistants can provide instant and personalized support to students, reducing the workload on educators.
Marketing & Sales
We help companies scale lead campaigns, increase close ratio's and help build sales teams ramp up by implement AI and data science. These technologies help companies maximize acquisition, increase retention, and relevance to their marketing & branding campaigns, including sales forecasting, sentiment analytics, lead scoring & LTV predictions, customer segmentation, and customer behavior tracking and analytics.
Customer Service
Our AI developer team augments customer service workflows using AI and data science, creating advanced customer data analytics and conversational agents to improve customer support, including chatbots, voice-first interfaces, cognitive assistants, contextual recommendations, and intelligent self-service options.
Mobile Apps
Our software engineering offers highly advanced mobile application solutions that incorporate speech, image, and facial recognition, plus cloud computing, machine learning, and automatic analysis programming to bring mobility to companies working on AI of all industry types.
IoT Solutions
We harness the power of the Internet of Things (IoT), developing IoT platforms, IoT edge processing, and IoT sensors to safeguard assets and help the top AI companies achieve business goals while establishing interconnectivity between employees, customers, and vendors.
Predictive Data Science + BI
We build predictive, problem solving solutions for the data scientist, including custom machine learning-based large language models and end-to-end prospective data discovery artificial intelligence programming with Java to help organizations anticipate customer behaviors and predict business outcomes.
Security Powered by AI
We design AI-driven solutions that counteract security threats using anti-fraud ML models for fraud detection, biometric identification & recognition techniques, and theft & misuse detection methods to protect data, user identity, and physical perimeters.
