Cybersecurity is a developing field of software compliance and innovation. As technology evolves, security must be a core component of each new software system because “security transcends technology.” Many current security problems exist within systems today as a result of Rapid prototyping (RP), a commonly-used dynamic software development methodology used to design and sell cutting-edge products to consumers.Rapid prototyping is excellent for innovation, but products designed with this method alone should only be brought to market after they are thoroughly evaluated by risk management professionals, and with the resulting risk metrics made available to the public. I believe having greater security and safety as consumers and as a society is a reasonable tradeoff to less secure, potentially dangerous rapid prototyping without any checks and balances.
In the early days of your startup, you probably engaged in many customer interviews. Then, as you started to grow, it became more challenging to keep in touch with your many customers. You probably started collecting data, but found it hard to make sense of it all. Building complex data warehouses and dashboards were just too costly and difficult to build.Now, you’ve got a product built, but you’re seeing some major problems:* Your customers aren’t being retained, and you can’t figure out why* You’re burning cash to acquire new customers, just as existing customers are walking out the door* New features aren’t being widely adoptedIf this sounds like you, then you need a data-driven product strategy. In this session, I’ll teach you how to:* Amplify the customer voice by creating a scalable customer feedback engine* Develop a sophisticated model for feature prioritization to align your roadmap to your goals* Implement a process of product experimentation and A/B testing
Data is great! But too much is rarely better than too little, and hiring a skilled data scientist is no guarantee of a successful data operation. It's easy to overlook the unglamorous links in the chain--the plumbing, the commitment to critically consuming your data, the recognition of your data's limitations--but they are equally important to your success as terabyte data inflows and modeling wizardry. Tim will draw upon his experiences as both an individually-contributing data guru and a project director over dozens of staff to highlight these oft-overlooked challenges and advocate for a sober, incrementalist approach to building out your business-supporting data practice.
When you have a multi-sided consumer marketplace, there are countless metrics that you can look at to determine eco-system health. Supply, demand, growth, engagement, and revenue are just some of the topline data points that can be utilized to view the health of your business. The problem is, they are lag metrics. Imagine having one singular lead metric to help you guide your business? Our presentation will show you the steps to take to determine that metric. And once found, how to use that metric to drive collaboration and motivate internal teams in service of a common goal.
After a decade on the front lines of AI, applying machine learning in the IoT and working with human users of AI prediction engines, Alex discovered that humans and AI are highly complementary. The coming wave of Human – AI Augmentation applications will unlock massive value. The talk will cover specific the strengths of current human vs artificial intelligence, how we can augment human creativity to produce more epiphanies, and use cases for hybrid human-AI applications.
We hear about AI every day, yet about half of small and medium companies have not started adopting this technology. In order to be competitive and profitable in today’s market, there is mounting pressure to bring AI into the organization. Decision makers increasingly understand that introducing AI into their organization is an essential part of remaining competitive and in today’s rapidly evolving tech environment.This 40 min presentation will introduce you to AI and look at three broad applications of AI: gaining insight, optimization, and innovation. We look at the challenges decision-makers face when trying to introduce AI into their environment and how development processes change when AI is involved. Finally, it provides a phased approach to planning your first AI project.
As a manager in charge of building data science based products, it is a constant challenge to prioritize the right things to build versus buy in a resource constrained environment. No one has unlimited data science talent. So given this, it is critical to know new technologies and understand what is truly proprietary to your organization versus a commodity.Technologies like AutoML and the prevalence of well trained algorithms have made it easier than ever to find accurate models, yet companies are continually prioritizing their data scientists to build algorithms that have become commoditized. Combined with this with the fact that Gartner estimates that 87% of data science projects never make it into production, it is an incredible economic waste.In this talk, Daniel Huss will walk through the best practices of product management when prioritizing which algorithms to build internally, as well as hi-light the latest technologies that are making many algorithms a commodity.
The best product does not sell if no one has heard of it. Especially if your ideal customer has never heard of it. Marketing is a key element to today's business and the importance of knowing who your customer is, cannot be emphasized enough.Sometimes, your customer is not necessarily the one who is actually buying your product though, which makes things even more difficult.In this complex sales world, you have to address both. Your customer and the buyer. Even if they might be the same person, they use different reasons to interact with your product and service. You have to cater to the user as well as the decision maker.In this session you will learn on a consumer product case studies, how some companies succeed and how other struggle with this challenging task and how you can identify your ideal customer and your target market for your company and products.
Right now the term data scientist is like the webmaster of the mid-90s. Back then everyone knew they needed a website although, they didn’t know exactly why. What they did know, is the only way to do it was to hire a webmaster. We now know that within the webmaster role there are many different skills. This single role is now an entire team that includes UI/UX, coder, front-end, back-end, designer, developer, devops, and more.
GDPR, CCPC, and the raft of new regulations will impact how you use data, no matter how big - or how small your company is. From someone who started building privacy plans over 20 years ago, learn how to incorporate customer privacy into your values and your business.
How enterprises store and protect data is important in keeping consumers’ data secure. To stay ahead of threats, companies have relied on advanced systems, such as biometric authentication, to secure data. However, many hacks occur due to how an enterprises’ database architecture is designed - many of which are designed pre-Internet. As a result, common practice has been to create singular databases for apps such as CRM, ERP, Identity Management, etc. The unintended result is when those are moved to the Cloud, the traditional architecture becomes primed for bad actors. Using unsuitable architectures means all fraudsters have to do is hack a single database and they have access to everything. The result? Breaches like that of Equifax. In this session, David Harding, CTO of SD based ImageWare Systems, a company that provides end-to-end digital ID verification, will talk about the options enterprises have to update their database architectures and avoid costly data breaches.
Patient Experience will drive interoperability. Putting people at the center of their healthcare breaks down all the health data silos.
Building a great product means understanding and responding to feedback from your users. As your product scales the volume of feedback quickly outpaces your ability to analyze and understand. The best companies are using AI to understand, manage and respond to this feedback.
The session will look at different pathways people can take when trying to enter the Business Intelligence space. The session will be a panel style event with 4 different speakers:A recent Workforce ISA graduate now working in the BIspace.Someone without a 4 years degree who entered the space through an internshipSomeone with a 4 years degree who is in the workplaceA local employer who hires BI graduates
In a world obsessed with data driven methods, the ability to conduct and present research about the problem your business solves helps establish your company as a thought leader. As a startup, having designated researchers or hiring third party research groups isn’t typically possible. Whether your data of interest is quantitative or qualitative, this session will walk you through how to research, analyze, and present a specific problem through data-focused white papers without a research team.
Understand why data-driven approach is just the beginning... The goal of processing data is to discover new patterns and build statistical predictive systems. However, in domains such as biology, medicine..., it is not enough! Reasoning-driven approach is necessary for problem solving. The talk is to make the audience understands the difference between data and knowledge, pattern recognition and reasoning... to be able to see the limits of each approach for the problem people are focusing on.
Businesses today face a myriad of security threats, both automated and targeted. Business owners need to be aware of practical and technological steps they can be taking to protect their data and the data of their customers. This presentation addresses, at a high level, the threats that businesses face and the strategies that can be employed to thwart these threats.
Many tech companies are still managing their teams and their operations the way they did decades ago. Even startups. But today we have new tools at our disposal. By leveraging the data exhaust your tech operation already produces, you can achieve a new level of integration and understanding. This presentation is a step-by-step guide that teaches you how to:- Combine databases, source control, and other sources into powerful visualizations.- Produce truly useful KPIs and other metrics to track team performance, and create a process that improves them over time.- Eliminate costly cross-talk and other team communication inefficiencies.- Improve employee engagement by creating personalized career roadmaps for everyone.- Use data to improve communication and drive alignment across your company.You already have the data. Learn how to extract the insights it contains. Leap into the world of modern data-driven technical management.
There are a number of frameworks available to base your organizations cybersecurity on but the latest of these has been provided to us by the US Government. There will be something for everyone to learn at this session whether you are just starting your journey towards cyber-compliance or if you are well on your way. Attending this session you will learn the following:Why is it important to use a framework?3 different levels of NIST CSFWhere should I begin for my organization?
Data Analyst, Business Analyst, Business Intelligence are all hot careers. But how can you get a start in these careers without going back to school? Emilie talks about what paths there are in data at startups without going to boot camps or getting a(nother) degree. These proven techniques can help you understand if a data-driven career path is right for you- and how to get started.
Not all data is created equal and identifying the MOST critical data will enhance the decision-making process. Businesses can create an unfair advantage by doing a few simple things to turn data into information. Most organizations do nothing with the data available OR identify too many “Key” Performance Indicators, (often called KPI’s) to track. What are your three most important data points? YIn this workshop, you will answer that question and also determine: 1. What results are most important in your business2. What behaviors or actions will influence that result 3. Leading indicators to give you early notice of whether you're on track to hit your goalsThis workshop is ideal for new businesses starting to utilize available data, as well as growing companies re-assessing the vital indicators. You will leave with a clear focus on the results you’re trying to achieve and the data you can use to predict whether you’re doing the right things to get your desired results.
A crisis is brewing that threatens freedom of the internet - Technologists like Bill Gates advocate for regulation. Congressman Nunes is suing twitter and Congresswoman Gabbard is suing Google - both for suppression of free speech. Deep fake videos threaten a fair election in 2020. These problems are due to the walled garden model. The web has become monopolized by walled garden platforms that control the infrastructure. The solution is an fully decentralized specification for indexing and distribution. Think of it like a library, the blockchain is like the card catalogue, it stores metadata about the information. Distribution networks like IPFS & BiTTorrent are like the library shelves where the information is kept. “This is thrilling! I’ve been saying for a long time we need to find a way to get money to artists, directly. This seems to be a really good contender for the way to do it!”-Sir Tim Berners-Lee, Inventor of the WorldWideWeb
Develop a data strategy for your growing business. Learn how to define the problem, gather the data, and extract the insights from your business' data sources. Uncover the insights hidden in your data to support your companies growth objectives.
Continuously repricing products in e-commerce or brick-and-mortar stores is a humongous task, but done correctly it can have a considerable impact on business profit. Dynamic pricing algorithms use machine learning but this use of predictive analytics is more involved than simply 'price prediction'.The presentation will discuss key elements of developing an optimal dynamic pricing algorithm and elucidate surprising algorithmic connections to other disconnected fields which seem far from optimal pricing — such as board games and traffic management.