Beekeeper's Naturals, a company dedicated to sharing the benefits of propolis with North America, was seeking innovative ways to engage with their users and convert them into paying customers. They had been working with MuteSix, a premier Facebook advertising agency, and Octane AI, but were looking for new ways to leverage these partnerships to improve their advertising performance. The challenge was to find a new and innovative advertising channel that could help them engage with new and past website visitors who didn't make a purchase, and convert them into paying customers.

Buckle Me Baby Coats, a company that designs children's coats for car seats, faced a significant challenge with high return and exchange rates. The company's founder, Dahlia Rizk, identified two main issues contributing to this problem. The first was the inconsistency in sizes across different coat lines, which confused customers and led to a high number of returns. The second issue was the lack of a tool to educate customers about the correct coat size to purchase, leading to frequent exchanges. The seasonality of the winter coats business also posed a challenge, as it created fluctuations in demand and return rates.

Freo, a full-stack mobile neobank for millennial consumers in India, was facing significant challenges in driving higher engagement and conversion rates. The company was experiencing high abandonment rates among consumers during the Know Your Customer (KYC) process, a crucial step that cannot be skipped for fintech apps. Additionally, Freo was struggling with segmenting customers into different cohorts and determining the optimal time and channel for communication. Post-onboarding, the company faced difficulties in activating customers and identifying category buckets that customers would fall into, such as dormant, inactive, champions, and power users.

The Client is engaged in providing vehicle traffic counting for government services based on recorded video manual analysis.They considered applying an automation tool for vehicle detection and counting that would recognize a vehicle type according to certain categories among the general road traffic. This tool would optimize human efforts, eliminate errors, and speed up the workflow and consequently the results.

SessionM, a rapidly growing customer engagement platform, was facing significant challenges in their talent acquisition process. The company was hiring across multiple functions and locations, and their lean Talent Acquisition team was struggling to keep up with the demand. The team was spending an excessive amount of time sourcing candidates, reviewing countless LinkedIn profiles, and struggling to find the right candidates for their specific needs. The traditional methods of sourcing based on job titles were proving to be inefficient as titles often varied across different companies. The team was in dire need of a solution that could help them source faster and better candidates, and they began exploring AI sourcing solutions.

AHRC Nassau, a chapter of The Arc New York, was struggling with outdated manual processes in its recruitment efforts. The organization, which supports over 2,200 people with intellectual and developmental disabilities throughout Nassau County, found it challenging to attract diverse candidates. AHRC Nassau operates a variety of facilities, including schools, health clinics, and a farm, and employs over 3,500 people, many of whom require specialized training. With more than 500 positions open at any given time, the organization's talent team was in dire need of a modern tech stack to meet the demand and streamline their recruitment process.

PetSmart, the largest specialty pet retailer, was facing a challenge in connecting with its job candidates. The company wanted to understand its candidates better and communicate with them in a language they could relate to. The line between consumer and employer brands was blurring, and understanding both sides was becoming crucial for evaluating the employment brand. The Talent Acquisition (TA) team at PetSmart realized that they needed to evolve their communication methods with job seekers after talking to candidates and associates to understand how different people absorbed content.

Rockwell Automation, a global leader in industrial automation and digital transformation, faced a significant challenge when the COVID-19 pandemic forced its talent team to halt the production of highly produced videos. These videos were a crucial part of the company's strategy to tell its story and engage with its talent. The sudden inability to produce these videos posed a threat to the company's talent engagement efforts and required a swift and effective solution.

Michelin, a renowned tire manufacturer, ventured into the medical technology industry with a new product, AirProne, an air cushion for patients suffering from respiratory distress. However, the company faced significant challenges due to the maturity of the medical technology industry. The primary issues were improving lead generation efficiency, targeting the right marketing audience, and developing a comprehensive understanding of the market. The critical point in the lifecycle of any product is its market release and sales growth. Michelin needed a solution that could provide a clear path to success for market research, testing, release, and sales growth.

Autheos, an Amsterdam-based video marketing company, was faced with the challenge of developing a unique AI video marketing platform that could deliver individualized consumer acquisition solutions for global brands. The company's vision was to use artificial intelligence to solve the age-old problem of wasted advertising dollars by providing personalized, real-time internet marketing. However, to turn this vision into reality, Autheos needed a powerful data analytics solution to power algorithms designed to connect brands with individual consumers. The company also faced the challenge of proving the correlation between video and consumer behavior, which required massive data crunching to reach the proof-of-concept stage.

Backflip Studios, a mobile game development studio, faced a significant challenge in the rapidly evolving mobile games market. The company needed to launch games quickly and release frequent updates to keep players engaged. In 2009, most mobile games had minimal server infrastructure, but as games evolved to include frequent content updates, cross-device play, community events, player communication, and sophisticated data analysis, a robust server infrastructure became crucial. The unpredictability of user influx, especially when games were featured on an app store or review site, posed another challenge. Backflip Studios also needed to analyze the data collected from their games to understand player behavior and improve game features.

Banco ABC Brasil, a modern bank with over 33 years of operation, was facing challenges in managing and analyzing both financial data and customer behavior information. As the bank's operations increased, it became evident that the decision-making process needed to be improved and automated to support new service models and cater to diverse financial needs of customers. The bank aimed to develop a data-driven culture and leverage artificial intelligence and machine learning tools to gain a competitive edge. However, the existing on-premises data platform was not equipped to support these strategic goals. The bank needed a robust solution to modernize its data platform, enhance data governance, and facilitate the creation of a data-driven culture.

Bharat Light & Power Pvt Ltd (BLP), a leading renewable energy generation and technology company in India, faced significant challenges in ensuring the availability of wind turbines that powered utility-scale wind power generation across the country. The failure of even the smallest component could shut down an entire wind turbine, compromising efficient operation. For instance, a $5,000 battery failure could shut down a $2.5 million piece of equipment. As the business expanded, it began to extend beyond its core 'AI for industry' mission. It recruited an IoT team to help factory owners and operators enable the programmable logic controllers (PLC) and supervisory control and data acquisition (SCADA) systems that run disparate equipment and machines to communicate with each other and provide usable data and insights. However, BLP's initial cloud service provider could not provide an architecture that made sense for an industry-focused solution.

NerdCow, a premium web design agency, was faced with the challenge of improving conversions on a client's ecommerce site, The Transport Library. The Transport Library, a large online shop selling images of rail and bus photos, was struggling with low sales despite its extensive product database of over 140,000 items. The main issues identified were a complicated search bar, difficulty in finding new products, and users not completing their purchases. The search bar was particularly challenging for the site's user base, primarily aged 55 to 65+ and not tech-savvy, due to its multiple fields with filters and joining statements. Users were also spending hours scrolling through the site's product database without clicking into any actual products, indicating a struggle to find new items. Lastly, despite adding products to their carts, users were not finalizing their purchases.

Steffen Quistgaard, a Senior Marketing Specialist at re:member, a trademark of Entercard, one of Scandinavia’s leading credit market companies, noticed an unusual increase in users bouncing off re:member’s credit card application form. Despite having traditional analytics tools like Google Analytics and their custom data warehouse, these tools were not providing a complete picture of the user journey. The main challenge was that these tools could not visually show what went wrong. The issue was particularly noticeable with traffic arriving from affiliates, which are sites that compare different types of credit cards. Despite being a significant traffic source for re:member, the high bounce rate from these users was a concern. Google Analytics could show what was happening on re:member’s application form, but it couldn’t explain why affiliate traffic was bouncing.

Intertop, a well-established shoe retailer in Ukraine with 114 stores in 25 cities and an online operation that attracts 3.5 million monthly visits, was facing challenges with its ecommerce model. Despite its high growth and rapidly increasing traffic, the company was struggling to simplify the customer journey on its website, increase conversion rates, speed up the introduction of user experience changes, and mitigate risks of damaging the site experience. To address these issues, Intertop engaged CRO and UX agency Turum-burum. The agency initiated their Conversion Rate Optimization program based on step-by-step interface enhancements, a model they call ESR: Evolutionary Site Redesign. The goal was to anchor all proposed website changes on analytical proof and confirm them through A/B testing, a proven way of minimizing risk of rolling out changes that impact the shopping experience.

Vimcar, Germany’s leading fleet management software, was experiencing rapid growth and needed to rebrand their regional websites for Germany and the UK to keep up with their expanding product and feature list. However, they were concerned that the changes might disrupt their funnels, leading to a temporary reduction in page views, leads, and sales. The site’s heavy focus on product and features was suspected to be making it harder for users to book a demo and get started. The team wanted to make the experience more customer-centric but needed hard data to identify what elements to change. The slow pace of traffic from its B2B customers made A/B testing a slow process, taking up to three months to gather enough data to act. They needed solutions in place right away.

Gavin, the founder of Yatter, a lead generation agency, faced several challenges in improving the conversion rates of various websites. One of the main issues was with his personal site, myfunnelacademy.com, where after switching from Clickfunnels to WordPress for more flexibility, the conversions dropped significantly. Another challenge was with an ecommerce store for car parts. Despite the Facebook ads for the store generating a 5x ROI, Gavin suspected the landing page was not fully optimized. He also worked on a stem cell therapy website, where despite having high-value visitors, the conversion rate was low. Lastly, he faced a challenge with a personal training and nutrition planning website, faultlessfitness.com, where too many options were causing choice paralysis.

Credit is a vital component of any financial system. However, for banks and other financial institutions, making credit available to those who need it can be a complex process. The credit scoring models used by financial companies often fail to reflect the actual financial behavior of individuals. In France, banks and lenders often base their lending decisions on outdated socioeconomic factors, such as marital status, which may not accurately represent the financial stability of a customer. Algoan, a fintech startup, aimed to make credit scores more transparent and representative of the applicants’ actual financial behavior rather than demographic signifiers. Launched in 2018, Algoan sought to provide financial institutions with a digital platform designed to improve their lending decisions by making them faster and more relevant to the circumstances of each customer. However, to achieve this, Algoan needed an infrastructure that balanced power, stability, and security.

AppsFlyer, a leading mobile attribution and marketing analytics platform, was faced with the challenge of providing real-time access to raw datasets for over 100,000 users. The platform, which processes more than 80 billion events daily, was experiencing a 10% monthly growth in traffic. This rapid growth necessitated a service that could scale to match the exceptional demand. Additionally, AppsFlyer's internal teams required access to the raw data for analytics to inform various aspects such as product performance and research and development. The company needed a data warehouse that could scale quickly while providing real-time access to data with high availability.

Apxor, a company that helps mobile app companies grow and retain subscribers, was facing challenges with its existing cloud provider. The company needed to process 1.5 billion data points daily to help its clients develop personalized user experiences. However, the infrastructure of their previous cloud provider was causing deployment issues. Additionally, the company was struggling with managing its infrastructure, which was taking away valuable time from its DevOps team that could have been used to focus on new product road maps. Apxor also needed to improve app discoverability and user retention for its clients, as users typically decide within 30 to 60 seconds whether they want to keep an app.

Ascend Money, one of South East Asia's largest fintech businesses, was facing challenges as it expanded its customer base and ventured into new markets. The company initially operated using physical infrastructure and on-premises workforce productivity applications. However, as the business grew, its technology leaders began to explore options to improve value for money, reduce the maintenance load on in-house team members, enhance data management and analysis, and foster more effective collaboration. The company was also looking for ways to reduce its infrastructure spending and become more efficient and cost-effective. Ascend Money needed a solution that would allow it to optimize its operations, lower costs, and improve performance.

The Athena Breast Health Network, a collaboration of breast cancer experts, healthcare providers, researchers, and patient advocates, was conducting the WISDOM Study, a clinical trial comparing personalized breast cancer screening to standard annual screening in 100,000 women. The study aimed to determine whether personalized screening that incorporates individual risk assessments is as safe and effective as the standard approach. However, the team faced a challenge in securely and conveniently providing access to mammograms and other breast health information. Additionally, they needed to improve study recruitment and retention, as the process of requesting records by phone or mail was inconvenient for participants.

The Institutes RiskStream Collaborative™, a large enterprise-level blockchain consortium in the risk management and insurance industry, faced a challenge with the carrier to carrier data sharing of a first notice of loss (FNOL). This process was resource-intensive and time-consuming, leading to increased claims cycle time and handling costs. The consortium needed a solution that would facilitate early and accurate notice of loss data exchange between the relevant carriers’ claims systems. The solution had to be intuitive, easily blend into existing business processes and environments, and run on a platform that could be set up quickly and easily updated. It also needed to allow users to create, update, and match loss records with another network participant in a permissioned manner, privately sharing information and reducing data reconciliation issues between disparate data systems.

The IT technical champion at a global manufacturing company was aware of the organization's security vulnerabilities despite having no existing compliance issues. The team was limited by budget constraints, only able to afford one penetration test per year. This was a significant challenge as the company's attack surface was expanding due to their growing IoT footprint. The organization needed a solution that could identify and address these vulnerabilities effectively and efficiently, without requiring significant resources or disrupting their operations.

A teaching hospital, despite having a diligent IT team that tracked security updates and promptly patched critical issues using industry-leading tools, found itself in a precarious situation. The team was confident that they had patched a critical vulnerability, known as ZeroLogon, months earlier. They even had reports from Qualys and Microsoft DISM, both industry-leading tools, to back up their claim. However, when NodeZero exploited this supposedly patched vulnerability in under a day on several of their Active Directory domain controllers, the IT team insisted it was a false positive. NodeZero, on the other hand, had evidence of a detailed attack chain showing each step taken to get credentials, escalate privileges, and gain administrative rights to Active Directory. This discrepancy led to the hospital reapplying the patch and repeating the NodeZero autonomous pen test.

The national homebuilder, with a large and mobile IT estate, was a potential target for cybercriminals due to its dispersed workforce and heavy reliance on cloud services. The company was not consistently capturing, analyzing, and correlating security logs, leaving it vulnerable to attacks without any visibility. There were also concerns about the company's compliance with GDPR and PCI DSS requirements. The company needed a security capability that would enable it to monitor and protect important data and assets round the clock. However, with a small team, the company lacked the resources to build this capability in-house and needed a security partner to provide support and expertise.

A private healthcare organisation in the UK, which processes large volumes of sensitive patient data, was targeted by a sophisticated type of malware. The malware aimed to harvest employee credentials and exfiltrate data. The organisation was already using Redscan’s Managed Endpoint Detection and Response service to protect its data beyond the level of security offered by traditional perimeter solutions. However, the malware attack posed a significant threat to the organisation's operations and the security of patient details. The challenge was to quickly identify, investigate, and respond to the attack to minimise operational disruption and prevent patient details from being stolen.

Kettering Health, a healthcare network supporting 13 medical centers, over 120 outpatient locations, and more than 30,000 users, was in the process of implementing layered defenses and aligning with NIST security controls when an aggressive rollout of the EPIC Electronic Health Records system fully consumed all IT resources. This resulted in a stall in cyber hygiene activities, leading to configuration drift. The situation was further exacerbated by the COVID-19 pandemic, which forced the IT staff to pivot from routine maintenance to address new security challenges presented by a mobile and remote workforce of first responders. The complexity of the situation, coupled with scarce resources, made it difficult to reestablish cyber hygiene. Limited visibility into the status of security tools, time-consuming manual analysis, and an overwhelmed IT network team further complicated the situation.

IMVU, the world’s largest avatar-based social network, was facing challenges with its aging on-premise data platform. The company wanted to enhance and re-architect their platform to support advanced analytics and Machine Learning use cases. However, with an exponentially growing data volume and a monolithic Hadoop architecture, the IMVU team was struggling to efficiently utilize user-generated data. The existing infrastructure limited innovation and capacity for advanced analytics. IMVU’s analysts lacked the tools to rapidly generate business-critical reports on customer in-game behavior at scale. They were working with historical data in batches, which resulted in late reports, inaccurate assumptions about customer in-game purchases, slower sales, and loss of profit. The analytics team also lacked a test environment to efficiently check analytics assumptions. The platform was powered by a 90-node on-premise Hadoop cluster, which was not cost-efficient and resulted in high costs and low efficiency.