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
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.
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.
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 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)
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.
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
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
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.”
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.
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.
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.
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
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.
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.
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.
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.
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
Overcoming Common Challenges in RPA Implementation
Robotic Process Automation (RPA) offers immense potential for enhancing efficiency, reducing costs, and improving accuracy in business operations. However, implementing RPA is not without its challenges. Organizations often encounter various obstacles that can hinder the successful deployment and scaling of RPA initiatives. In this blog post, we will explore some common challenges in RPA implementation and provide strategies to overcome them.
1. Resistance to Change
Challenge: Employees may resist the adoption of RPA due to fears of job displacement or changes in their work processes.
Solution:
Effective Communication: Clearly communicate the benefits of RPA to employees, emphasizing how it can reduce mundane tasks and allow them to focus on higher-value activities.
Involvement and Training: Involve employees in the RPA implementation process and provide comprehensive training to help them adapt to new workflows.
Change Management: Implement a structured change management plan that addresses employee concerns and promotes a positive attitude towards automation.
2. Selecting the Right Processes for Automation
Challenge: Identifying suitable processes for automation can be difficult, leading to suboptimal results if the wrong processes are chosen.
Solution:
Process Assessment: Conduct a thorough assessment of business processes to identify those that are repetitive, rule-based, and high-volume.
Pilot Programs: Start with pilot projects to test and validate the feasibility and impact of RPA on selected processes before scaling up.
Stakeholder Input: Engage stakeholders from different departments to gain insights into which processes would benefit most from automation.
3. Technical Complexity
Challenge: The technical complexity of integrating RPA with existing systems and processes can pose significant challenges.
Solution:
Scalable RPA Platform: Choose an RPA platform that is scalable and compatible with your existing IT infrastructure.
Expertise: Ensure you have the necessary technical expertise, either in-house or through external partners, to handle integration and customization.
Continuous Monitoring: Implement continuous monitoring and maintenance processes to quickly address any technical issues that arise.
4. Lack of Clear Governance
Challenge: Without clear governance, RPA initiatives can become fragmented, leading to inconsistencies and inefficiencies.
Solution:
Governance Framework: Establish a governance framework that includes policies, standards, and guidelines for RPA development and deployment.
Center of Excellence (CoE): Create an RPA Center of Excellence to oversee and coordinate automation efforts, ensuring alignment with organizational goals.
Regular Audits: Conduct regular audits and reviews to ensure compliance with governance standards and identify areas for improvement.
5. Measuring ROI
Challenge: Measuring the return on investment (ROI) of RPA initiatives can be challenging, particularly in the early stages.
Solution:
KPIs: Define clear key performance indicators (KPIs) to measure the impact of RPA on efficiency, cost savings, accuracy, and other relevant metrics.
Baseline Data: Collect baseline data before implementation to enable accurate comparison and assessment of RPA benefits.
Regular Reporting: Implement a system for regular reporting and analysis of RPA performance to track progress and demonstrate value to stakeholders.
6. Scalability Issues
Challenge: Scaling RPA across the organization can be difficult due to resource constraints and process variations.
Solution:
Standardization: Standardize RPA processes and tools to facilitate scalability and ensure consistency.
Incremental Approach: Scale RPA incrementally, starting with high-impact areas and gradually expanding to other departments.
Resource Allocation: Allocate sufficient resources, including budget and personnel, to support the scaling of RPA initiatives.
Implementing RPA can transform business operations, but it requires careful planning and execution to overcome common challenges. By addressing resistance to change, selecting the right processes, managing technical complexity, establishing clear governance, measuring ROI, and ensuring scalability, organizations can maximize the benefits of RPA and achieve sustainable success.
Are you ready to embark on a rewarding career in Robotic Process Automation (RPA)? Whether you’re a seasoned professional or just starting out, the world of RPA offers a wealth of opportunities for women to thrive and excel.
Here are four key roles and titles within the RPA field that could be your next career move: 1. RPA Developer: As an RPA Developer, you’ll be responsible for designing, developing, and implementing automation solutions using RPA tools like UiPath, Automation Anywhere, or Blue Prism.
2. RPA Business Analyst: As an RPA Business Analyst, you’ll gather requirements, analyze processes, and identify automation opportunities to improve efficiency and drive business value. 3. RPA Project Manager: As an RPA Project Manager, you’ll oversee the end-to-end delivery of RPA projects, from planning and execution to monitoring and optimization.
4. RPA Solutions Architect: As an RPA Solutions Architect, you’ll be responsible for designing and architecting scalable and efficient RPA solutions.
Whether you’re passionate about development, analysis, project management, or architecture, there’s a role for you in the dynamic and rapidly growing field of RPA.
Join us as we empower women to pursue fulfilling careers and make a meaningful impact through automation! #womeninrpa #RPA