2023 MBA Perry Schools of Banking
MBA Perry Schools of Banking
Kellogg Center, East Lansing, MI
Drew Conley of Aunalytics Speaking at 2023 MBA Perry School of Banking
Aunalytics is pleased to announce that Drew Conley, Daybreak Relationship Manager at Aunalytics, was chosen to present at Michigan Bankers Association’s Perry Schools of Banking. His presentation is entitled, “How to Win Wallet Share while Cutting Costs in Operations”. This presentation will examine how financial institutions can use AI-driven insights to improve customer engagement and increase wallet share. He will also share how Aunalytics empowers banks through our Daybreak™ for Financial Services solution, which enables community banks and credit unions to more effectively identify and deliver new services and solutions so they can better compete with large national banks.
2023 Wisconsin Credit Union League Convention & Expo
2023 Wisconsin Credit Union League Convention & Expo
Kalahari Resort & Convention Center, Wisconsin Dells, WI
Aunalytics to attend the 2023 Wisconsin Credit Union League Convention & Expo
Aunalytics is pleased to attend 2023 Wisconsin Credit Union League Convention & Expo. Aunalytics will be meeting with attendees and giving demos at booth #320. Representatives from Aunalytics will be educating attendees on how financial institutions can use AI-driven insights to improve customer and member engagement and increase wallet share. Event attendees can also learn more about the Daybreak™ for Financial Services solution which enables credit unions to more effectively identify and deliver new services and solutions so they can better compete with large national banks.
Defense Manufacturers Face Huge Risks from Malware
Manufacturers that work with the Department of Defense (DoD) are immune to attacks of any kind, right? Wrong. Like any industry, the companies that produce equipment and military systems are just as vulnerable to malware.
Malware is a blanket term used for any kind of software that is designed to cause harm to a digital environment like your office or factory spaces. It can damage devices, computer systems, and networks while bad actors ensure all business functions come to a screeching halt—frozen in place while your files are accessed, stolen, and possibly even sold. With such valuable, and often proprietary, information, defense manufacturers may be an even bigger target than others and can lead to a national security incident. What are some ways that malware can cause serious issues for defense manufacturers?
Disrupted Operations and Processes
The first issue is the most obvious—by using malware, hackers can access your network and put a halt to your internal processes.
Shutting down operations is a big deal for anyone, but when you work with the DoD, the delays and backups during equipment production and delivery of goods can lead to significant delays that impact military readiness.
Theft of Intellectual Property
In addition to being used to disrupt operations, malware can also be used to steal and encrypt or sell sensitive information connected to the development and production of equipment made for the DoD.
Bad actors can disrupt or shut down vital systems, encrypt your data, and openly steal your proprietary information in hopes you will pay them to restore it. It is exceptionally rare that a company receives all its data back after a ransomware attack and there is no way to guarantee the data wasn’t copied before being returned. Additionally, once you’ve paid the first ransom, it has become increasingly common for bad actors to charge additional ransoms before returning your data.
Due to the sensitive nature of the information, it can be used to sell competing products, sell counterfeits, and more, potentially giving an unfair advantage.
Compromised Security
You may have seen this coming. Theft of intellectual property often leads to every DoD manufacturer’s nightmare—especially where drones or other vital systems concerned—compromised security.
Since malware can be used to attack and enter the compromised security of a manufacturing company, including its networks, it allows attackers direct access to sensitive, and sometimes dangerous, equipment. You don’t want to give away your company’s ‘nuclear football’.
What now?
Thankfully you can make this an ‘if’ not a ‘when’ situation—there are ways that such attacks can be avoided and guarded against. In addition to the advanced security measures that are recommended, employee cybersecurity training must be implemented. It’s not enough to have good security—everyone with access to your company’s data must be able to recognize a bad actor when they see one.
Partnering with a Managed IT Services company that specializes in protecting against cybersecurity threats means you can focus on what you do best—helping the DoD protect our country. As one of the only FedRAMP certified companies in the Midwest, you can depend on Aunalytics to keep your sensitive data safe. Don’t settle for an out-of-the-box antivirus and nothing else. Ensure that your location and data are not only secure, but that they will remain that way—no matter what the threat landscape looks like.
The Truth About Artificial Intelligence in Business
Is the existence of Skynet imminent or is that simply a sci-fi trope? In this brief video, Dr. David Cieslak, Chief Data Scientist at Aunalytics, talks about the capabilities of Artificial Intelligence in business, some potential concerns with AI, and where the technology is headed in the future.
While there exists a broad range of applications for AI, in the business world, this technology has the potential to drastically change how we understand our customers and how we use our data to interact with them. Once created and trained with customer data, AI has the ability to quickly provide suggestions and insights that would otherwise be prohibitively difficult or even impossible to observe on your own.
For example, Aunalytics’ Daybreak for Financial Institutions platform uses a proprietary AI model that can predict when a customer or member is likely to churn, to suggest which product to promote based on what that specific person is most likely to buy, to identify where the best branch locations are, and more. These types of insights are hiding in your data, simply waiting to be uncovered. To learn more about the business applications of AI, you can view the extended interview here.
David Cieslak, PhD, is the Chief Data Scientist at Aunalytics since its inception and leads its Innovation Lab in the development and delivery of complex algorithms designed to solve business problems in the manufacturing/supply chain, financial, healthcare, and media sectors. Prior to Aunalytics, Cieslak was on staff at the University of Notre Dame as part of the research faculty where he contributed on high value grants with both the federal government and Fortune 500 companies. He has published numerous articles in highly regarded journals, conferences, and workshops on the topics of Machine Learning, Data Mining, Knowledge Discovery, Artificial Intelligence, and Grid Computing.
A Data Scientist's Thoughts on Artificial Intelligence, Business, and the Future
A Data Scientist's Thoughts on Artificial Intelligence, Business, and the Future
In this interview, David Cieslak, PhD, the Chief Data Scientist at Aunalytics, describes complex analytics concepts such as artificial intelligence, machine learning, and deep learning, and explains how they are useful for businesses today—and will continue to be in the future. David has been with Aunalytics since its inception and leads its Innovation Lab in the development and delivery of complex algorithms designed to solve business problems in the manufacturing/supply chain, financial, healthcare, and media sectors.
Fill out the form below to receive an email with a link to the interview.
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A Data Scientist's Thoughts on Artificial Intelligence, Business, and the Future
A Data Scientist's Thoughts on Artificial Intelligence, Business, and the Future
In this interview, David Cieslak, PhD, the Chief Data Scientist at Aunalytics, describes complex analytics concepts such as artificial intelligence, machine learning, and deep learning, and explains how they are useful for businesses today—and will continue to be in the future. David has been with Aunalytics since its inception and leads its Innovation Lab in the development and delivery of complex algorithms designed to solve business problems in the manufacturing/supply chain, financial, healthcare, and media sectors.
Do you have the tools and talent to set your organization up for analytics success?
Most business leaders would agree: data is a valuable asset. Having up-to-date, accurate data with which to make data-driven decisions currently gives organizations an edge, but eventually, this will become table stakes in most industries, simply to remain competitive. However, an up-front investment in a strong technical foundation and a shift to embrace analytics culture throughout the organization are required to achieve analytics success.
Unfortunately, there are many challenges to overcome when trying to bring siloed and dirty data from multiple sources across your business to a single place to be analyzed, including a lack of time and manpower, and the need for data points that don’t currently exist, to name a few. Using data analytics, it becomes possible to better optimize your business by discovering operational efficiencies, reducing costs, tracking customer trends across your organization, and making strategic decisions based on predictive data models. Is partnering with analytics experts the best choice for mid-sized institutions, or should you hire Full-Time Employees (FTEs) to build and manage your data?
There are multiple ways an analytics platform could be created—we’re going to look at two today.
Build it yourself
The first is choosing to create a custom data platform. While not a bad choice, it could take a FTE years to create your analytics platform—if it’s ever finished. An engineer hired to build a custom platform may leave you high and dry with no one to step in to help. Something like this could cost your business months—or even years—of lost money and productivity, leaving you with nothing to show for your platform building efforts.
Even if your data engineer remains with your business, there are other challenges you may encounter. It can be difficult for a single FTE to stay up to date on the newest technological advances and upgrades. Especially when that person is not only expected to clean and update information on thousands of data records, but also take care of system and software updates, keep up with changing trends in the analytics world, and more. A lack of manpower can also make tasks like finding trends in your data nearly impossible, as data processing may be far behind where your most recent and relevant business analytics can be found.
When it comes to advanced analytics, you would need to find and hire additional employees who are skilled in advanced data analytics, machine learning, and AI techniques, and ideally, familiar with your industry. This can be easier said than done. Data scientists, like many in the technology field, are in high demand, and may be difficult to find and hire in smaller geographical markets.
Work with a partner
A different option is working with a trusted technology partner who brings data analytics expertise straight to you. Partnering with an end-to-end provider often saves your company money while allowing someone else to take care of the nitty gritty that goes into creating reports, graphs, charts, and more. Additionally, you are guaranteed to have access to the team you need to build algorithms and find insights in your data. A partner will consistently provide you with the right tools, talent, and resources, while supporting you the entire way. But how could an Analytics as a Service partner help you find the true value of your data?
A good partner will be able to offer the required resources to achieve analytics success—a foundational data platform, automated data management, access to data experts, and data delivery methods such as relevant and actionable dashboards and reports. Imagine having a regular report, generated overnight, every night, for you to review first thing in the morning—without having to invest in many new FTEs and years of development time.
When looking for a data analytics partner, all the things above are important for creating a successful partnership that leads to analytics success. Aunalytics provides data processing and analytics help and would never expect you to go it alone. When you hire us, you hire data scientists, data engineers, and data analysts, reducing the need for multiple expensive FTEs. By having access to a team of data experts by your side, your business can find itself enabled to make better, faster, and smarter decisions based on consistent, real-time data.
ACCELERATE 23 - Minnesota Credit Union League
ACCELERATE 23 - Minnesota Credit Union League
Radisson Blu MOA, Bloomington, MN
Aunalytics to attend ACCELERATE 23 as a Silver Sponsor
Aunalytics is excited to attend the Minnesota Credit Union League’s annual conference, ACCELERATE 23 in Bloomington, MN. Representatives from Aunalytics will be speaking with attendees and presenting the Daybreak™ for Financial Services solution at their exhibit booth. Daybreak enables credit unions to more effectively identify and deliver new services and solutions so they can better compete with large national banks through AI and advanced analytics. Financial institutions can use these AI-driven insights to improve customer and member engagement and increase wallet share.
2023 CULytics Summit
2023 CULytics Summit
Microsoft Conference Center, Redmond, WA
Aunalytics to attend and speak at the 2023 CULytics Summit in Redmond, WA
Aunalytics is thrilled to attend and speak at the 2023 CULytics Summit—in-person for the first time after a three year hiatus! Aunalytics is excited to participate in two speaking sessions. Ryan Wilson, VP, Client Relationships, will be presenting a demo of the Daybreak™ for Financial Services solution which enables credit unions to more effectively identify and deliver new services and solutions so they can better compete with large national banks. Meanwhile, Taylor Oake, Account Executive – Enterprise Analytics, will be joining Brent Hepner of 3Rivers FCU to present the case study, “Discovering Business Value Through AI-Powered Business Intelligence & Predictive Analytics: A Successful Partnership.”
