Offset Solar, a leading home solar installation company in the United States, was facing a challenge in speeding up their sales cycle. Despite having a contact form on their homepage that booked new sales meetings, the company wanted to explore how Chat Marketing could enhance their lead generation process. The goal was to quickly qualify visitors and convert them into leads for sales. Upon analyzing their homepage experience, they identified two major obstacles: visitors either didn't know what they wanted or didn't know how to find it. The challenge was to overcome these obstacles and create a more efficient, customer-focused lead generation strategy.

STEEZY.Digital, a real estate marketing tech company based in California, was struggling with the results of their general marketing campaigns. The founder, Jeffrey Brogger, was dissatisfied with the high-ticket sales of homes that required an extra human touch to close the deal. He was looking for a better way to enhance the real estate market. The shift of commerce and communication from email to Messenger was also observed, with real estate marketers using the new channel to close escrow. However, this left out an important aspect of sales: Conversation. Since Jeffrey’s clients sell high ticket offers, the ability to engage their audience, provide valuable content, and qualify prospects before talking with an agent was necessary. He also aimed to reduce the average time it takes to close a sale for his clients.

BBVA, a leading bank in Europe and the Americas, recognized the need to adapt to the changing demands and needs of new generations. With the emergence of digital customers, the bank understood the importance of leveraging technology to meet these new demands and strengthen their market presence. The bank aimed to improve the customer contact experience, provide 24/7 support, allow for self-management, and optimize service channels. However, achieving these goals required a solution that could automate customer service and provide quick and efficient responses to customer inquiries.

InterChange Group, a cold-storage warehousing and distribution company, was faced with the challenge of increasing the efficiency of its cold storage facility to better service a local customer. The company needed to prove its capability to handle growing volumes in the future. The specific challenge was to integrate their new fleet of semi-automated forklifts with the Camelot Excalibur Warehouse Management System (WMS). The deployment of this technology investment, especially with temperature and date-sensitive food products, within a tight timeline, posed significant challenges.

BigBasket, India's largest online food and grocery store, faced two primary challenges. The first was creating awareness about its services and offerings, a common issue for any E-commerce brand. The company needed to focus on user reachability to increase its customer base. The second challenge was to grab its customers’ attention through the right channels in a timely manner and with the most relevant content. As one of the first movers in the grocery delivery segment, standing out from the crowd was crucial for BigBasket. They needed a solution that would allow them to reach more devices with their offerings and provide a personalized customer journey.

AirAsia, a global leader in customer experience, was facing a significant challenge as it grew in popularity. The number of brand interactions was increasing, and without a self-service solution, customers were forced to wait almost an hour to reach an agent. This situation was putting the brand’s reputation at risk. Furthermore, by relying on call centres operating within local hours and languages, AirAsia was missing out on opportunities to create new connections and drive new sales with international audiences. The live agent support was available only on the website and through the call centre. The agents were overwhelmed by the volume of international interactions, and the customer wait time was around 45 minutes. The voice call centre support was limited to APAC hours.

Shapermint, a leading ecommerce website for women's intimates, shapewear, and loungewear, faced a challenge in scaling its customer support operations to keep up with its rapid growth. The company recognized the potential of offering 24/7 live chat on their website to enhance customer experience and drive sales. However, they were concerned about their capacity to meet the demand for high-quality service in synchronous messaging. The challenge was to scale up their synchronous customer engagement without compromising on the quality of their industry-leading customer experience.

Cancer is a complex disease with variations in the genetic makeup of individuals and their tumors, making every patient unique. However, the majority of current medical practice treats many patients identically, leading to wide variations in response to therapy. Typically, only 25% of patients benefit from the often expensive treatment they are given, with many suffering serious side effects. The current approach to cancer drug therapy seems to be largely based on a trial and error principle. Alacris Theranostics, a Berlin-based spin-off company of the Max Planck Institute for Molecular Genetics, sought to overcome this mismatch for patients and healthcare costs using computer models.

Asahi Group, a leading food and beverage company, faced significant challenges in its global operations due to its legacy on-premises infrastructure. The company's global units, often born of acquisitions, needed to collaborate seamlessly and in real time. However, the existing infrastructure was causing bottlenecks even in routine tasks such as onboarding new employees, as data needed to be funneled through a centralized hub server. The company's ambitious multi-year cloud modernization program aimed to overhaul its legacy infrastructure to a modernized cloud architecture by 2027. However, the sprawling global business could not afford to skip a beat even in the midst of this transformation. The challenge was to ensure seamless data sharing and cooperation across platforms, offering transformative agility, scaling power, and robust security.

Creative Media Works, a division of Emtek, operates the global BBM consumer messaging and social networking platform under license from BlackBerry Limited. The platform has evolved from a text and video messaging app into a social ecosystem that unifies chat, social, commerce, content, and services. However, the company faced the challenge of intense competition and changing consumer expectations, making innovation, growth, and awareness of emerging trends essential to success. The company needed to evolve the text and video messaging app into a social service spanning chat, social, commerce, games, and more. Furthermore, the company had a hosting arrangement with BlackBerry for up to two years, after which it needed to identify a vendor to support its development work and cut over to them. The company determined that a hosted cloud environment should meet its agility, speed, and cost requirements.

The global agricultural trade industry has been grappling with outdated and inefficient processes. The industry has not seen significant technological innovation since the mass adoption of email 30 years ago, making global supply chain management increasingly challenging. The need to track more partners, suppliers, and endpoints has become more complex, and post-trade execution remains highly manual, repetitive, costly, and time-consuming. The industry is heavily reliant on paper-based processes and email exchanges, with over 275 million emails exchanged annually to process an estimated 11,000 worldwide shipments of grain. Paper-based certificates and bills of lading are not easily exchanged among multiple parties, and replacing them if misplaced is costly. The COVID-19 pandemic has further disrupted supply chains due to interruptions to paper document deliveries and the increasing necessity to work from home, accelerating the need for digital transformation.

Utility providers in the USA were struggling with large volumes of data and documents, slow and inflexible legacy systems, and inefficient operational processes. The main goals were to increase the processing speed of their software, automate operations, and streamline business processes using OpenText solutions for Enterprise Content Management. The clients also sought to resolve issues such as a slow billing cycle, lack of flexibility, a lot of manual work, and human errors. The challenges included improving system flexibility to simplify changes and collaboration, automating the billing cycle, shortening the document approval cycle, building a scalable solution that could generate thousands of documents quickly, and ensuring solution maintainability.

Dahrwin, a US-based company that develops mesh network solutions, was faced with the challenge of implementing their idea of a cross-platform mesh network solution. The solution was to be built from scratch to meet the needs of different industries, such as V2V communications and for establishing connections in zones with no service. The company needed a strong engineering team specializing in both hardware and firmware development. The challenges included designing and implementing the prototype of a dynamic mesh network solution using Android based mobile phones and utilizing WiFi ad-hoc capability, developing hardware for an efficient mesh network, developing the software protocol powering the dynamic work of the network, ensuring compatibility with different platforms, implementing a faster launch of embedded Linux, and taking into account obstacles, noise and other conditions to ensure the highest quality of the solution.

The client, a leading luxury store chain with a global presence, was facing challenges with their online platform. They wanted to enhance the shopping experience and boost sales by making it easier for customers to find the right products. The existing search engine on their online shopping website was not meeting the client's speed and accuracy requirements. Furthermore, the client was unable to customize the search engine to effectively match their evolving needs. The client was in need of a new, flexible solution that could improve the customer experience on their online platform.

The client, a Switzerland-based media group operating in over 15 countries, was seeking to enhance the popularity of their news platform. They wanted to identify relevant and trending topics more effectively to attract a larger audience. The challenge was to monitor and analyze competitor content to identify topics that were either partially covered or not covered at all by their own platform. The goal was to use this information to adjust their content strategy and present more relevant and engaging content to their audience.

Germany-based company, cleverbridge, provides comprehensive e-commerce and subscription management solutions for monetizing digital goods, online services, and SaaS across various industries. The company was faced with the challenge of providing one of their largest customers with more precise and visually informative data analytics reports. As an all-in-one e-commerce provider, cleverbridge is continuously looking for solutions to meet every customer need. Therefore, to satisfy the request of their largest customer, cleverbridge began improving the analytics solution and looked for assistance from a tech partner with the right expertise. The main task was to enhance the tool that provides reports on client’s subscription (i.e., revenue, number of new customers) and complement it with more visually informative data.

The client, an international company specializing in smart telematics solutions for efficient fleet operation and management, was facing a challenge in improving their fleet management processes. They were in need of a new solution that would not only streamline and optimize their operations but also help them expand their customer base. The client was specifically looking for an experienced partner who could assist in creating this solution within a short time frame. This urgency was driven by the need to achieve certification in Canada and establish new partnerships in the region.

Whether big or small, a Digital shift is always difficult to carry out. We aimed for a digital transformation thus increasing the internal operational efficiencies by introducing self-service and automation, and improving the client experience. Moreover, the utmost challenge was to carefully Validate the single-digit precision of results by rounding off the numbers in calculations for efficiency and accuracy.In the end, Sifars was looking for a reliable way to register customer data securely while naturally engaging them for their daily tasks.

Experity, a dynamic Health Information Technology company, was formed from the merger of the two largest urgent care Electronic Medical Records (EMR) companies in the country. The merger led to a rapid expansion of personnel, office locations, software, and services, creating unique challenges for the security team. The team was tasked with protecting the company from loss events of any kind, requiring business continuity and standardization. The small security team was overwhelmed with the task of managing security operations and building resilience in their security program. The company's growth also meant that the security team needed a platform to vet alerts from the increasing number of employees and contractors. The existing Managed Detection and Response (MDR) platform was inadequate as it only monitored network and server activity and not endpoint activity.

TLC’s approach to organizing high-quality data for analysis and distribution across the company and to clients was both labor-intensive and extremely time-consuming. Client data wasn’t being retained in any real meaningful fashion with data analysis and reporting was mostly done manually and managed in extremely complex Excel spreadsheets.On top of this, report delivery was done on a monthly basis by email and the sheer size of the spreadsheets was becoming problematic. Their data was triple the size of what any cloud-based system could handle and the need for superior reporting and analysis in a timely fashion to maximize fundraising was imperative.

Honeywell, a Fortune 500 company specializing in diversified technology and manufacturing, was in need of an enterprise remediation data management system. The company sought a system that could safeguard and maintain the quality and integrity of their significant investment in generating site remediation data. They also wanted to ensure that this data was available for future use and could assure business partners of its reliable quality. Honeywell's existing data was scattered across stand-alone consultant systems, spreadsheets, and paper records, making it difficult to access and share within the company.

neurothink, a US-based start-up, aimed to make machine learning (ML) and artificial intelligence (AI) 'radically accessible' to a broad audience, including data scientists, enterprises, students, and hobbyists. However, the barriers to entry into ML were high due to fragmented platforms, scarce access to powerful GPUs, and a steep learning curve for creating and training models. Additionally, neurothink faced the challenge of delivering a robust, enterprise-capable platform built on start-up resources. They needed an automated, efficient platform that could deliver huge amounts of compute power in a secure environment. The company also needed to ensure a quick market entry to seize the first-mover advantage, which required a superior product and the right partnerships.

EFL S.A., a leading leasing company in Poland, was looking to upgrade their data warehouse system, a crucial component of their operations. The company was considering a full migration to Snowflake, an innovative data warehouse solution. EFL's data warehouse is large and complex, with multiple departments requiring access to different parts of it. The company wanted to verify the effectiveness of Snowflake's tools in managing this complexity. They also wanted to assess whether Snowflake could meet their needs in terms of functionality, performance, and cost-efficiency. It was important for EFL to get an independent expert opinion and not rely solely on the data and materials provided by the vendor. They chose Objectivity for this task, due to their successful past collaborations.

The client, a leading service provider in the UK, was facing significant challenges due to the complexity of their network. This complexity was a result of multiple acquisitions, technological disruptions, and a multi-vendor ecosystem with varied architectures. The client lacked visibility into their network service operations, which made it difficult to meet the demands of their enterprise customers for faster and more reliable network services. The client's network was built through discrete projects run by multiple vendors, leading to obsolete and siloed network technologies, tools, and processes. This resulted in slow delivery and operations, overdependency on manual efforts, delays in service delivery, frequent network issues, and lengthy restoration times.

The City of Akron, Ohio, faced a significant challenge when the COVID-19 pandemic hit. With a workforce of about 2,100 full-time and seasonal employees across various divisions, city officials had to make quick decisions to protect not only residents but also its employees. The initial stay-at-home orders issued in March 2020 necessitated accurate, real-time data to make important decisions on how to bring employees back to work and support active city employees. The city needed to determine which employees were essential and nonessential, manage benefits for essential employees, and track leave types to analyze its impact on staffing levels and overtime costs. However, the city's legacy applications made access to real-time data for decision-making difficult. The process of obtaining personnel data was time-consuming and involved several steps, including requesting reports from the appropriate staff member or department or directly accessing the database to pull data into a CSV format.

Proximus, the largest internet service provider (ISP) in Belgium, embarked on a network function virtualization (NFV) initiative in 2018. The project involved deploying various telecommunication applications using a cloud infrastructure, including virtual IP multimedia subsystems (vIMS), and software-defined wide area networking (SD-WAN). However, migrating complex physical ISP networks to a new network with virtualized functions was a long-term project, taking several years. During this transition, Proximus faced the challenge of maintaining the same visibility and analytics across both physical and virtual functions. The company had deployed several traffic analytics probes that relied on physical taps, tap aggregation switches, and Keysight Vision network packet brokers in the legacy environment. However, in the new virtual environment, network functions ran as virtual machines (VMs) on the same physical server, and the east-west traffic did not cross any of the physical links where the physical taps would have been located. Proximus needed to maintain the same level of visibility in the virtual environment as in the physical one, while also containing the total cost of ownership.

Interfolio, a software service provider for higher education institutions, faced a significant challenge as its user base and data volume grew. The company needed a modern data strategy that could unify internal data, streamline reporting processes, and be flexible and scalable enough to serve as an embedded solution within the Interfolio platform. The primary challenge was selecting a BI platform and a cloud data platform that could handle multiple data sources, model complexity, and enable straightforward dashboard creation. The company had been using a competing BI vendor and an in-house solution for managing their consumer-based SaaS metrics and reporting, and for managing reporting data for quarterly business reviews. However, as data sets grew exponentially, these solutions were no longer performant or scalable.

A large power utility in Hawaii was grappling with the challenge of frequent equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes. The company, which operates several combined cycle natural gas fired power plants, was seeking a more efficient and reliable solution for condition monitoring on their Balance of Plant (BOP) generation assets. The assets included a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps, auxiliary cooling water pumps, and half-a-dozen forced draft fans. The main issue was that significant equipment failures were happening in the intervals between their scheduled condition monitoring, leading to unplanned downtime and operational inefficiencies.

Aker Solutions, a global leader in providing subsea production control systems for the oil and gas industry, was facing a challenge with the increasing sophistication of its products and control technologies. The offshore oil and gas production environment is one of the most demanding engineering environments, and the rising complexity of Aker's products was creating a growing need to store, manipulate, and share data across networks of devices located on the seabed, on production platforms, and onshore. To meet the demands of future product generations, Aker Solutions identified the need for a new database management system that could handle high volumes of data, be compatible with embedded and conventional systems, and maintain data integrity in the offshore environment where communication links may suffer disruption and interruption.

VMware was undergoing a significant digital transformation to support its business model transition from perpetual-license software to subscription and software-as-a-service (SaaS). The VMware IT team was tasked with delivering new capabilities in an accelerated timeframe while improving performance, resiliency, and user experience. One of the apps modernized was VMware Customer Connect, a self-service portal accessed by millions of users each month. Since its launch a decade ago, the portal experienced exponential growth in traffic, leading to scalability and performance issues, outages, and latency. Its legacy codebase and monolithic architecture made it difficult to build and deliver new features. To enhance the platform’s performance and security in the short term, VMware added third-party software tools. However, a lack of integration and other inconsistencies added to the platform's complexity.