202305_Webinar_AI in Finance.pptx

[Audio] Welcome to our Q and A panel! We'll be discussing the transformative impact of artificial intelligence on the Financial Services and Banking industry. AI applications in this sector are expected to save $447 billion by 2023. This has led to the rapid adoption of AI by fintech organizations, as they seek to enhance services and stay competitive. With a decade of experience in the financial sector, Accedia is committed to helping clients modernize and digitize their organizations. In line with this goal, we developed this panel, a part of our Financial Sector Partnership program. Today, we will address key questions about integrating AI into banking and financial operations. Let's begin!.

In this Q&A panel, we are going to answer the most common questions asked in relation to AI integration in the Banking & Financial Services sector. These include: Types of infrastructure and data used to feed AI systems Key performance indicators for measuring ROI of AI investments Ethical and unbiased AI systems New AI roles and skills required Balance between benefits and challenges of AI systems.

[Audio] What are the most common use cases for AI in the finance industry, and how can they benefit our organization?.

[Audio] AI is rapidly advancing its uses in the finance sector to improve efficiency, reduce costs, and increase accuracy in decision-making processes. This ultimately leads to better service for clients. AI technologies find applications in fraud detection and risk management by analyzing data for patterns and anomalies. AI also automates back-office processes, impacting customer service and future business gains. The sector utilizes predictive analytics, including data, statistical algorithms, and machine learning, to assess future outcomes and risks..

[Audio] AI is employed in chatbots and virtual assistants that understand natural language and offer personalized customer assistance. Algorithm trading is more niche case. In it AI analyzes market data, enabling traders to make informed investment decisions and achieve better results..

[Audio] What types of data should we be collecting and analyzing to feed our AI systems, and how can we ensure that our data is accurate and reliable?.

[Audio] We advise our fintech partners to gather and analyze insights from various sources. Those can range from financial transactions, customer data, market trends to economic indicators..

[Audio] About 80% of organizations also collect data from systems like customer relationship management, customer service records, earnings transcripts, tax documents, and surveys. However, these valuable insights often go unused due to different formats, unstructured data, and limited access. Using analytical techniques and tools can help unlock the value of this data. For example, NLP algorithms can categorize customer feedback, extract key details from earnings transcripts, and identify common themes. To ensure accurate and reliable data, implement data quality checks, validation processes, and governance policies..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. INFRASTRUCTURE. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. COST. Revenue growth Cost savings Efficiency gains Customer satisfaction.

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. AI ROLES AND SKILLS. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. Exceeding expectations..

Exceeding expectations.. ADDRESSING CHALLENGES. Exceeding expectations..

REQUEST AI CONSULTING SESSION!. Online meeting with both an experienced AI Consultant and a Business Expert to discuss feasibility of your idea Analysis of risk in investing in AI and suggestions on current possibilities Follow up with the steps you can take to move your product or service towards AI- powered technologies..

AI in Finance: Advanta g es, Use Cases, and Challenges How Accedia Makes AI Accessible Outsourcin g Data Science and Data Analytics to Bul g aria 15 Excitin g Applications of AI in Popular Industries.

Exceeding expectations.. EXCEEDING EXPECTATIONS..