Artificial Intelligence for Finance, Accounting & Auditing

Explore chatbots as cognitive AI assistants that provide virtual assistance in finance, accounting, and auditing. Compare live chat and chatbots and preview applications before building your own.

Explore how chatbots are deployed in finance, accounting, and auditing to boost performance and satisfaction, including tax chatbots, auditing bots, and voice-enabled transactions.

Explore three chatbot use cases in finance, accounting, and auditing: tax advice bots, EY's audit help desk bot handling 500,000 questions, and conversational banking bots.

Build a hands-on chatbot with IBM Watson to answer questions a new team member may have, using the workbook instructions and setting up a free online account.

Configure IBM Watson Assistant to handle questions via Slack or Skype, use Discovery service to fetch answers, and enable speech-to-text, translation, and natural language understanding for finance.

Set up your IBM Cloud account, log in to cloud.ibm.com, and open Watson Assistant. Create a new team member assistant to learn bot configuration in the next video.

Configure a Watson Assistant chatbot by creating a dialogue skill, defining intents and entities for office locations, building a welcome flow, and testing via try it to verify responses.

Connect a chatbot to an external data source by adding the Discovery Service, upload a team calendar via Excel, and enable a search skill to query events.

Add a search skill to the chatbot with IBM Watson to fetch meeting information, display simple cards, and configure intents, entities, and dialogue for training times and locations.

Learn to build a chat bot with IBM Watson, add a discovery service for events, and configure a Slack integration with no programming required for plain-language user queries.

Learn to integrate a chatbot with Slack using IBM Watson, including setting up a Slack app, configuring tokens and scopes, enabling event subscriptions, and testing live conversations.

Explore speech recognition in artificial intelligence for finance, identifying speech, speakers, language, and translation. Examine emotion detection to guide chatbot versus live agent routing for support.

Explore general applications of speech recognition and emotion detection, illustrated by a Bloomberg example of a voice-activated wearable that senses wearer emotions in accounting, auditing, and finance.

Explore speech recognition applications across finance, accounting, and auditing, including dictation of accounting entries, voice analytics for audits, and voice-based transaction initiation in banking.

Explore how speech recognition speeds accounting tasks with voice-driven transactions and how KnowledgeSpace voice analytics and voice print authentication enhance auditing, banking, and compliance.

Test built-in speech recognition on Windows and Mac, use dictation in Word and Slack, and preview chatbot integration with IBM Watson toward natural language processing and robotic process automation.

Explore the initial stages of natural language processing, from data extraction to pre-processing. Remove stop words, apply lemmatization and stemming, and build a document term matrix to represent word counts.

Explore natural language processing applications in finance, accounting, and auditing, including chatbots, contract analysis, and text clustering, with AI-generated summaries of news and social media.

Explore practical natural language processing use cases in finance and government data, including topic modeling, text clustering, and sentiment analysis, with examples from Deloitte, EY, and IBM.

Download RapidMiner and MeaningCloud, install RapidMiner Studio, and log in to access MeaningCloud's natural language processing with an educational license or free student or professor access.

Confirm the MeaningCloud add-on is up to date, then explore its natural language processing features such as topic extraction, lemmatization, text classification, sentiment analysis, and deep categorization for review analysis.

Download Amazon reviews manually, clean and organize them in Excel, and import into RapidMiner to perform sentiment analysis and natural language processing on the reviews.

Import review data and apply MeaningCloud natural language processing—lemmatization, sentiment analysis, topic extraction, text classification, and deep categorization—to analyze reviews and display results.

Navigate the lemmatizer output and document term matrix, with stemming and word counts. Explore sentiment analysis, topic extraction, and deep categorization to understand reviews and support decision making.

Explore machine vision, a key ai technique that teaches computers to interpret images through labeled training data, identifying features to build robust image-recognition models for finance, accounting, and auditing.

Explore real-world machine vision applications in accounting, auditing, and finance, from self-driving cars to warehouse robots that identify and pick items for packaging and shipping.

Explore machine vision in finance, including optical character reading for accounts payable, automatic invoice data extraction and three-way match, and drone-powered inventory audits improving audit quality.

Explore machine vision using Google Drive to run handwriting recognition with Kami and facial recognition with Face Age Gender Detect, demonstrating transcription and age and gender estimation.

Discover machine learning as the heart of ai, applying predictive and descriptive tasks in finance to assess loans and classify investors, with overview of ml steps for accounting and auditing.

Explore data exploration and pre-processing, train and validate models with cross validation, and compare predictive models including decision trees, random forest, logistic regression, stacking for banking, finance, accounting, and auditing.

Discover real-world machine learning use cases in auditing, accounting, and finance, including how recommender systems learn user preferences (like Netflix) and inform financial insights.

Explore how machine learning automates auditing of expense claims, enables unbiased bonus accruals, and maps risk assessments in finance, with a hands-on predictive task.

Explore RapidMiner's machine learning workflow with decision trees, random forest, logistic regression, and stacking to predict customer return using age, gender, and payment method, with data exploration.

Import data, set rules, and build a cross-validated decision tree to predict future customers, achieving 94.7% accuracy with features like age, gender, and credit card usage.

Build an ensemble with stacking by combining logistic regression, naive bayes, random forest, and decision trees, trained on the same data and evaluated via cross-validation.

Explore robotic process automation and an intelligence layer to automate backend finance tasks, such as Slack-to-Watson workflows, automated searching, and OCR-enabled data extraction for accountants and auditors.

Explore how robotic process automation connects financial systems to automate manual tasks in finance, accounting, and auditing, with EY, Deloitte, KPMG, and PwC case studies.

Sign up for the Automation Anywhere community edition, log in, and begin building bots, adding AI, and analyzing performance in the dashboard before saving in My Bots.

Hands-on with automation: build a browser connector bot in Automation Anywhere community edition, organized in an RPA Exercises folder, and configure it to launch a browser and open Google.

Configure hot key triggers to tell the bot when to run, using control, alt, shift and the letter a. Save and apply changes, then run with triggers to deploy.

Configure bots to automatically open Excel by locating the application path using Automation Anywhere. Triggering with hotkeys, open the browser, and open specific Excel files in future steps.

Learn to configure a bot to open the Excel application, open a specific file, and use waits to ensure synchronized browser searches.

Demonstrates hands-on automation to copy a cell from Excel and paste into a browser to search for Apple's stock price, using session management, waits, and keystroke simulation for app-to-app integration.

Walks through every key and button to troubleshoot triggers, Excel file location, and session settings, then tests the bot and notes common issues.

Learn to create a connect to Watson bot in RPXS, configure hot key triggers, open Slack, and automate chat commands to IBM Watson inside Slack.

Explore how internet of things enables automated, wifi-connected devices and warehouse robots to link ERP workflows, optimize inventory, and automate order fulfillment without human intervention.

Explore how Cisco's IoT networking enables real-time asset location and 24% equipment effectiveness gains at Black & Decker through RFID tagging and the Aero Mobile View software.

Take a hands-on look at MATLAB as a visualization tool for IoT data from sensors and cameras, generating audit evidence and enabling cloud-based analysis of assets.

Explore ThingSpeak as a backend for sensor data collected via MATLAB, storing data in the cloud, enabling triggers and act-and-react analytics for audits, budgeting, and forecasting.

Explore how ThingSpeak channels and apps enable low-cost internet of things projects, demonstrated by a public traffic monitor using Raspberry Pi, webcam, with data updated every 15 seconds.

Explore MATLAB front-end visualization tools to analyze ThingSpeak data from traffic-monitoring channels, and implement actions like store notifications and time-based audit-image emails for validation.

Explore MATLAB visualizations and static plots for public channels, adapt the code for private channels, and configure ThingSpeak time control to trigger scheduled analytics.

Wrap up the analytics and channels exploration, covering private and public channel data, MATLAB visualizations, and time controls, then link action and reaction with IoT applications for real-life impact.

Explore smart analytics for finance, accounting, and auditing by analyzing data from IoT devices and business processes, using AI tools like IBM Watson and voice querying to extract insights.

Explore SAS as a leading smart analytics platform with machine learning, natural language processing, and machine vision, and its use in Rogers, Royal Bank of Scotland, and Honda.

Explore MindBridge AI for audit, set up engagements, import and map general ledger data, analyze accounts payable and receivable, set materiality, and review AI-driven high, medium, and low risk transactions.

Explore control points in engagement settings, including duplicate entries, outliers, and expert-based sensitivities, and see AI flag irregular flows, high values, and audit risk assessments.

Explore how a smart analytics audit tool scrutinizes high risk transactions, reveals control points and outlier anomalies, and enables risk-based intelligent sampling with RPA automation for audit workflows.

Recaps eight AI techniques: chatbots, speech recognition, robotic process automation, natural language processing, machine vision, machine learning, IoT, and smart analytics—and outlines moving from theory to an actionable implementation plan.

Apply a champion-led, prototype-driven approach to implement AI in finance by automating low-hanging, standardized processes, digitizing inputs for machine readability, and validating ROI with RPA and IoT prototypes.

Deloitte outlines a cognitive audit that standardizes, digitizes, and automates processes with robotic process automation, natural language processing, and machine learning, aiming for rollout and savings without compromising human roles.

Discover how artificial intelligence transforms accounting, auditing, and finance by automating routine tasks, enabling internal audit risk assessments, and creating roles like financial planning, data scientists, and scenario planners.

Prototype use cases of ai techniques like chatbots, speech recognition, nlp, machine vision, ml, iot, rpa, smart analytics to transform finance, accounting, and auditing, while monitoring impact and starting small.