WomenTech Connect San Francisco 2024

BRING DIVERSITY, EQUALITY, AND THE FEELING OF BELONGING INTO TECH

Professional Participants:

Why attend this speed networking Event? We have three good reasons:

· Meet women in tech leaders and get inspired by their journeys and stories.

· Expand your network and establish relationships with fellow women in technology.

· Connect with leading tech companies, explore global industry trends and identify career growth opportunities.

Women in Tech SF

Join us for a healthy dose of startup and tech networking in Santa Monica.

  • Meet your next client
  • Find your next job
  • Start a conversation with a new cofounder
  • F ind new friends that share common interests
  • Get some great advice from our founder

JOIN US FROM 6:00 – 9:00PM

  • DRINKS*
  • AMAZING COMPANY
  • TOP COMPANIES
  • TOP TALENT
  • Must be 21 to attend

COMPANIES OFTEN IN ATTENDANCE (… just to name a few)

Google • Sony • Electronic Arts • Hulu • The Honest Company • Disney • Apple • Activision • Live Nation • Dollar Shave Club • Facebook • Snapchat • Trunk Club • ZipRecruiter • Experian • DreamWorks • HBO • Edmunds.com • Buzzfeed • NBCUniversal • YouTube • BeachBody • Playstation • Amazon • SpaceX • Bird • Vice Media • Netflix • GumGum • Vayner Media • Activision • Microsoft • Openai

The Role of Solution Architecture in Cloud Transformation

We are excited to announce our upcoming Clarusway Tech Talk featuring Tanvi Hungund, Senior Manager, Enterprise Solution Architecture at AWS. In this session, Tanvi will explore the pivotal role that solution architecture plays in cloud transformation—a journey that many organizations are undertaking as they move to cloud environments.

Tanvi will share her insights on:

  • Designing cloud architectures that align with long-term business strategies
  • Best practices for integrating legacy systems with modern cloud platforms
  • Ensuring security, compliance, and resilience throughout the cloud transformation process

This event is tailored for IT professionals, solution architects, and anyone interested in cloud technology’s evolving landscape. Don’t miss out on this chance to learn from a leading expert in the field.

Squire.ai Hackathon

We’re hosting a 2-day Hackathon at the incredible NFX office in Hayes Valley along with leading devtool and AI companies. We want to help you build your next project and have some fun trying to get AI to do something useful.

​Hackers will take projects from idea (null) to production through the weekend and present what they’ve built to judges from top AI companies.

Financial Modeling Workshop

​Financial modeling for your startup may feel elusive at best and overwhelming at worst. Online resources are confusing, hard to follow, or exist behind a paywall. Financial modeling feels like it’s reserved only for the likes in consulting or high flying finance – investment bankers, private equity, or VC. It’s unclear what investors are looking for when evaluating the financial projections of a startup. Founders don’t know where to start analyzing the financials of their current business model or their potential business idea.

​At this workshop, you’ll build a financial model to see what it takes to go from -1 to 0: initial idea to revenue targets or 1 to 1000: build projections based on your current revenue. Come prepared to share your startup whether you’re building in Gen AI, Consumer, SaaS, or anything in between.

​During the workshop, you’ll be given a detailed template to work through. We’ll help you build specificity into your model based on your specific business needs. By the end of the workshop, you’ll have a concrete understanding of how to build a robust business model for any potential investor conversations and understanding of your company’s short-term to medium-term financing needs and revenue targets.

​Participants are expected to bring their laptops to follow along during the live modeling session.

  • ​3:00 PM: Welcome and networking
  • ​3:15 PM: Introduction to financial modeling (instructor guided live workshop)
  • ​4:15 PM: Q&A and additional workshop period
  • ​4:45 PM: Closing and networking

AI Con ’24

AI Con ’24 After-Hours Mixer by TensorWave & Founders Creative (Open Bar)

​Join us for an intimate, invite-only mixer bringing together the leading minds in AI—builders, engineers, founders, and VC’s who are driving the next wave of innovation. Whether you’re showcasing new ideas, seeking opportunities, or engaging in discussions on AI infrastructure, cloud, compute, and machine learning, this event provides the ideal setting for building valuable connections and collaborations.

Who’s This For?
First off, this isn’t your typical mixer. It’s for the innovators, disruptors and influencers in the AI space. Every attendee is handpicked, ensuring you’ll be surrounded by like-minded visionaries who are also shaping the future.

What to Expect
Just a short walk from the conference venue, you’ll step into an upscale, lively open bar with the perfect atmosphere for relaxed networking. Drinks will flow, music will set the tone, and the curated crowd will ensure that every conversation has the potential to spark something big. Expect a room full of influential individuals, but in a laid-back setting that encourages genuine connection.

Why You?
Well, we believe you’re a key part of the AI community, and this exclusive gathering is the perfect opportunity for you to engage with others who share your vision. Who knows, maybe the connections and conversations here could lead to your next big collaboration or opportunity.

​—​—
​​Founders Creative is a growing community of 10,000 AI founders, investors, engineers, and operators coming together to collaborate, network and innovate.

 

Marketing Secrets ⭐️ (&AI)

Dive into the exciting Marketing Journey with our marvellous speakers and their insights (networking, pizza🍕/drinks for early guests):

⭐️ “How to Avoid 4 Common Startup Marketing Traps” with Chris Matthews

Sharing key concepts from his book, Start Telling People, Chris will explore how to make your first marketing hire, how to make your product demos flawless, why GTM is different for startups (and what to do about it), and why you need to care about brand debt as a startup.

⭐️ “AI IN DIGITAL MARKETING AND WHERE’S IT ALL HEADING” with Galina Shubik, co-founder of Affect Group Inc.

– Finding clients in the digital space with the help of Ai inside Meta & Google – Creating messages and design – Effective hypothesis testing and scaling

Case Study: How a Major Retailer Used RPA to Enhance Customer Experience

Case Study: How a Major Retailer Used RPA to Enhance Customer Experience

 

In today’s fast-paced retail environment, customer experience is paramount. With the rise of e-commerce and the increasing demands of tech-savvy consumers, retailers are constantly seeking innovative ways to enhance their service offerings. One major retailer has successfully leveraged Robotic Process Automation (RPA) to significantly improve its customer experience. This case study explores the implementation, benefits, and outcomes of their RPA journey.

 

The Challenge

The retailer faced several challenges that impacted customer satisfaction:

  1. High Volume of Customer Inquiries: With thousands of daily inquiries across multiple channels, the customer service team struggled to respond promptly.
  2. Order Processing Delays: Manual order processing was time-consuming, leading to delays and errors.
  3. Inventory Management Issues: Inaccurate inventory data resulted in stockouts and overstock situations, disappointing customers.

To address these issues, the retailer decided to implement RPA to streamline operations and enhance customer experience.

 

The Implementation

The retailer partnered with a leading RPA provider to deploy automated solutions across various functions:

  1. Automated Customer Support: Implementing chatbots and virtual assistants to handle common customer inquiries such as order status, return policies, and product information. These bots were integrated with the retailer’s CRM system to provide accurate and timely responses.
  2. Order Processing Automation: Automating the entire order processing workflow, from order entry to fulfillment. RPA bots were programmed to extract order details, validate information, and update the system without human intervention.
  3. Inventory Management Automation: Deploying RPA to monitor inventory levels in real-time, trigger restocking alerts, and update inventory data across all sales channels.
 

The Benefits

The introduction of RPA brought about several significant benefits:

  1. Improved Response Times: The automated customer support system drastically reduced response times, with most inquiries being resolved within seconds. This led to higher customer satisfaction and reduced workload for the customer service team.
  2. Faster Order Processing: Automated order processing reduced the average order fulfillment time from hours to minutes. This not only improved delivery times but also minimized errors and rework.
  3. Accurate Inventory Data: Real-time inventory updates ensured that customers had access to accurate product availability information, reducing instances of stockouts and overstock situations.
 

The Outcomes

The implementation of RPA resulted in measurable improvements in the retailer’s operations and customer satisfaction:

  • Customer Satisfaction Scores: Customer satisfaction scores increased by 25% within the first three months of RPA implementation.
  • Operational Efficiency: The retailer saw a 40% reduction in manual processing tasks, allowing employees to focus on more strategic activities.
  • Revenue Growth: Improved customer experience and operational efficiency contributed to a 15% increase in sales.
 

This case study highlights how a major retailer successfully used RPA to enhance customer experience by automating key processes. The positive outcomes demonstrate the transformative potential of RPA in the retail sector. By addressing common challenges and streamlining operations, RPA enables retailers to meet customer expectations and stay competitive in a dynamic market.

 

As the retail industry continues to evolve, RPA will play a crucial role in shaping the future of customer experience. Retailers who embrace this technology will be well-positioned to deliver exceptional service and achieve sustained growth.

RPA and Compliance: Ensuring Regulatory Adherence Through Automation

RPA and Compliance: Ensuring Regulatory Adherence Through Automation

 

In an increasingly regulated business environment, compliance has become a critical concern for organizations across industries. Adhering to complex and evolving regulations can be time-consuming and costly, often requiring meticulous record-keeping and stringent process controls. Robotic Process Automation (RPA) offers a powerful solution to these challenges, enabling businesses to achieve regulatory adherence efficiently and accurately. This blog post explores how RPA is transforming compliance management and ensuring regulatory adherence through automation.

 

The Compliance Challenge

Organizations face numerous compliance challenges, including:

  1. Regulatory Complexity: Regulations are often complex and subject to frequent changes, making it difficult for businesses to stay updated and compliant.
  2. Manual Processes: Traditional compliance processes are manual and prone to human error, increasing the risk of non-compliance.
  3. Resource Intensive: Compliance activities require significant resources, including dedicated personnel and extensive documentation.

To address these issues, many organizations are turning to RPA to streamline their compliance processes.

 

How RPA Enhances Compliance

RPA automates repetitive and rule-based tasks, which are common in compliance processes. Here’s how RPA can enhance regulatory adherence:

  1. Automated Monitoring and Reporting: RPA bots can continuously monitor transactions and activities to ensure they meet regulatory requirements. They can generate real-time reports, flagging any deviations or anomalies for further investigation.
  2. Document Management: Compliance often involves managing large volumes of documentation. RPA can automate document collection, organization, and storage, ensuring that all required documents are readily available for audits.
  3. Regulatory Updates: RPA can be programmed to track changes in regulations and update compliance processes accordingly. This ensures that organizations remain compliant with the latest regulatory requirements without manual intervention.
  4. Audit Trail: RPA creates detailed logs of all automated activities, providing a clear audit trail. This makes it easier to demonstrate compliance during regulatory audits and reduces the risk of penalties.
 

Benefits of RPA in Compliance

The implementation of RPA in compliance management offers several significant benefits:

  1. Accuracy and Consistency: RPA reduces the risk of human error, ensuring that compliance tasks are performed accurately and consistently.
  2. Efficiency and Cost Savings: Automating compliance processes frees up resources, allowing compliance teams to focus on higher-value activities. This leads to cost savings and improved operational efficiency.
  3. Scalability: RPA can handle large volumes of transactions and scale as the organization grows, ensuring that compliance processes remain efficient and effective.
  4. Real-Time Compliance: RPA enables real-time monitoring and reporting, allowing organizations to quickly identify and address compliance issues before they escalate.
 

Real-World Examples

Several industries have successfully implemented RPA to enhance compliance:

  1. Financial Services: Banks and financial institutions use RPA to automate anti-money laundering (AML) checks, Know Your Customer (KYC) processes, and regulatory reporting.
  2. Healthcare: Healthcare providers leverage RPA to ensure compliance with patient data protection regulations (e.g., HIPAA) and automate billing and claims processing.
  3. Manufacturing: Manufacturers use RPA to comply with environmental regulations, safety standards, and quality control requirements.
 

In a world where regulatory adherence is crucial, RPA offers a robust solution for managing compliance efficiently and effectively. By automating repetitive and rule-based tasks, RPA ensures accuracy, consistency, and real-time compliance, reducing the risk of non-compliance and associated penalties.

 

As regulations continue to evolve, organizations must stay agile and proactive in their compliance efforts. RPA provides the tools needed to navigate the complex regulatory landscape and achieve sustained compliance success.

Exciting Opportunities in RPA

Building a Successful RPA Center of Excellence (CoE): Best Practices and Strategies


Robotic Process Automation (RPA) has become a transformative technology for businesses seeking to enhance efficiency, reduce costs, and improve accuracy in their operations. However, to fully leverage the potential of RPA, it is crucial to establish a robust framework that can drive and sustain automation initiatives. This is where a Center of Excellence (CoE) for RPA comes into play. In this blog post, we will explore best practices and strategies for building a successful RPA CoE.


What is an RPA Center of Excellence?

An RPA CoE is a centralized team or organizational unit that provides leadership, best practices, research, support, and training for RPA initiatives. The CoE acts as a governing body to ensure the successful deployment and scaling of RPA across the organization.


Best Practices for Building an RPA CoE

  1. Define Clear Objectives and Vision

    • Establish a clear vision and set of objectives for your RPA CoE. These should align with your organization’s strategic goals and outline how RPA will contribute to achieving them.
    • Example Objective: “Automate 50% of repetitive back-office tasks within two years to improve operational efficiency and reduce costs.”
  2. Assemble a Cross-Functional Team

    • Build a diverse team comprising members from IT, operations, finance, HR, and other key departments. This ensures a holistic approach and fosters collaboration across the organization.
    • Include roles such as RPA developers, business analysts, project managers, and compliance experts.
  3. Develop a Governance Framework

    • Establish governance structures to oversee RPA initiatives, including policies, standards, and guidelines for RPA development and deployment.
    • Create a steering committee to provide strategic direction and decision-making authority.
  4. Standardize Processes and Tools

    • Develop standardized processes for identifying, prioritizing, and implementing RPA projects. Use consistent methodologies and tools to ensure uniformity and quality.
    • Implement a robust RPA platform that supports scalability and integration with existing systems.
  5. Foster a Culture of Continuous Improvement

    • Promote a culture of continuous improvement by encouraging feedback, innovation, and learning. Regularly review and refine RPA processes to enhance efficiency and effectiveness.
    • Conduct periodic audits and assessments to identify areas for improvement.

Strategies for Effective RPA CoE Implementation

  1. Start with a Pilot Project

    • Begin with a small pilot project to demonstrate the value of RPA and gain initial buy-in from stakeholders. Choose a process with clear, measurable outcomes and low complexity.
    • Use the success of the pilot to build momentum and secure support for broader RPA initiatives.
  2. Focus on Change Management

    • Effective change management is critical for the successful adoption of RPA. Communicate the benefits of RPA to employees and involve them in the transition process.
    • Provide training and support to help employees adapt to new ways of working and alleviate concerns about job displacement.
  3. Measure and Communicate Success

    • Establish key performance indicators (KPIs) to measure the impact of RPA initiatives. Track metrics such as time saved, cost reductions, and error rates to demonstrate value.
    • Communicate successes and lessons learned to stakeholders to maintain support and drive continued investment in RPA.
  4. Leverage Advanced Technologies

    • Integrate advanced technologies such as artificial intelligence (AI) and machine learning (ML) with RPA to enhance automation capabilities and enable more complex processes.
    • Explore opportunities to implement intelligent automation solutions that can handle unstructured data and make decisions.
  5. Scale RPA Across the Organization

    • Once the CoE is established and initial successes are achieved, focus on scaling RPA across the organization. Identify high-impact processes in different departments and replicate successful automation solutions.
    • Establish a decentralized model where individual business units have autonomy to implement RPA under the guidance of the CoE.


Building a successful RPA Center of Excellence requires careful planning, collaboration, and a commitment to continuous improvement. By following best practices and implementing effective strategies, organizations can create a strong foundation for RPA initiatives and unlock the full potential of automation.


A well-established RPA CoE not only drives operational efficiency and cost savings but also fosters innovation and agility, positioning organizations for sustained success in the digital