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Digital Strategy on Business outcomes
Peak commercial performance -- it's what all organizations strive to reach. At the most baseline level, we're talking about sustained, profitable growth.
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Applied Technology Review | Tuesday, February 09, 2021
FREMONT, CA: Peak commercial performance -- it's what all organizations strive to reach. At the most baseline level, we're talking about sustained, profitable growth. But while talking about it seems easy enough, actually getting there is another story.
Businesses that have cracked the code adapted to meet the evolving needs of the customer in spite of the increasing complexity of an ever-changing economy.
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Doing so successfully requires them to find ways to accelerate revenue and manage key relationships, while tackling the complexity that threatens to slow them down.
If you look at who's winning in the market, it's the companies that not only embraced digital transformation early, but also made it a core building block of their foundation moving forward.
The most successful companies have five key things in common:
Analyzing top-down to know where to start a digital transformation journey.
Before a company can even think about the technology it is looking to implement, it must first analyze the business as a whole and the objectives it is trying to achieve.
It is important to fully understand "who" the company is today, and how it has changed over time or under the current circumstances. Once companies understand this, they are in a better position to reshape business architectures in a way that best aligns with business goals.
Another option is to work with a third-party vendor to perform an audit of the company. This will help to get an unbiased view on where a company can improve. A vendor would also be able to provide industry best practices on what similar businesses have done to become more efficient.
Securing buy-in from all teams, especially company leaders.
Cultural transformation is the key to digital transformation success. One of the biggest challenges companies face when implementing new digital strategies is ensuring all team members are on board. This can be done through strong and clear internal communication. Outlining clear key performance indicators that will help show benefits such as increased sales effectiveness, customer satisfaction, and revenue, will help everyone involved understand why changes must be made.
When company leaders are on board, they can help act as advocates for projects and initiatives, while encouraging and rewarding agility amongst the rest of the teams involved. It is also crucial to provide training on any new technologies prior to implementation, while continuing to support and tend to any questions, and troubleshooting as new strategies are being rolled out.
Meeting customers wherever they are in their digital transformation journey.
The popular adage 'patience is a virtue' doesn't apply when achieving peak commercial performance is the end goal. Doing business gets harder every day because the ever-increasing complexities of a changing economy causes friction between companies and their customers.
Victory goes to those who are impatient and challenging the status quo with new business models that leverage digital transformation for speed. Those who can remove that friction are performing disproportionately well, even in the unpredictable times we are in today.
The secret to removing friction is meeting customers wherever they are in their digital transformation journey. This applies to businesses of all types across various industries -- from small retailers trying to bridge the technological gap with their older buyers, to large manufacturers that want to simplify complex purchase and fulfillment processes.
Winning businesses are transforming the way customers do this by meeting them where they are on the journey and enabling them to provide an enjoyable and frictionless customer experience.
Making customers business-agile so they can move at the speed of their customers.
Another key component of digital transformation is the ability to move at the speed of the customer. Businesses that get it right invest in ways that will get the customer from Point A to Point B as quickly and painlessly as possible. This requires an understanding that it's less about features and functions and more about removing screens, clicks, and other bottlenecks.
For example, consider Door Dash's success over the past six months. While the food delivery service was doing well prior to COVID-19, it's been doing even better during shelter-in-place and quarantine. DoorDash understood the points of friction in their customer's journey and implemented things like touchless payment and contactless pickup.
Today, the volume of its pickup business is growing by double digits as a result of removing friction and enabling customers to pay for and receive their meals sooner. Success requires moving faster to meet customer needs today while simultaneously increasing agility to prepare for an uncertain tomorrow.
Providing customers with resources for an all-digital, work-from-anywhere world.
Remaining agile in a dynamic market requires the ability to go fast in a straight line while also navigating around corners with confidence. This is especially important as companies grow and dodge inevitable curve balls during their digital transformation efforts.
For example, today we must provide customers with the resources they need to succeed in an all-digital, work-from-anywhere world. Because let's face it, even when the pandemic is under control, the return to the office will never look like what it used to. Businesses that invest in ways to help customers tackle complexity with confidence add capabilities under the hood to make features and functions faster, more dependable, and scalable.
High-performing businesses reach peak commercial performance by reducing friction in customer interactions in the face of a market with increasing complexity. Those who can meet their customers at any point on their digital transformation journey to help them move at the speed of their customers in an all-digital, work-from-anywhere world, are set up for success today and well into an uncertain tomorrow.
London : The 3rd edition of the London Climate Technology Show concluded last week, paving a vital roadmap towards fully decarbonising our planet through sustainable technologies. The event brought together policymakers, eco-technology leaders, industry professionals, and innovators, all unified in their call for an immediate shift to sustainable and green solutions to secure a better future for the planet.
The two-day event opened on 27th November with an inspiring keynote by Felicity Burch, Executive Director of the Responsible Technology Adoption Unit at the Department for Science, Innovation, and Technology (DSIT), who spoke about AI Innovation in Clean Energy and the DSIT's Manchester Prize . Following her, Ing. Abigail Cutajar, CEO of the Climate Action Authority, talked about Pioneering the Surge Towards Climate and Energy Transitions.
The conference unfolded over two dynamic days, featuring a packed agenda of insightful presentations and engaging panel discussions. It delved into actionable strategies for decarbonisation, advancements in AgriTech, the evolving carbon market, eco-funds, energy, CCS, built environment and other groundbreaking innovations in climate technology.
Notable discussions highlighted the need for farmers to balance carbon stewardship with food production over the next few decades, the importance of consistent government policies to enable businesses to plan and innovate effectively, and the urgency of addressing digital and engineering skill shortages to ensure a successful green energy transition. Industry experts also called for common sustainability metrics to measure corporate efforts fairly, emphasized the value of collaboration over competition to accelerate the green transition, and underscored the need for farmers to access landscape-level data to enhance biodiversity.
The exhibition hall featured groundbreaking innovations and solutions in sustainability and climate technology, including carbon capture and storage (CCS) from companies like CGI and Terra CO2 Technology, carbon management and accounting solutions by Greenly and Gaia Carbon Accounting, and emerging climate technologies from innovators such as Nabla Flow and Luna 9. Other exhibitors showcased AI-driven solutions, sustainable energy systems, and innovative carbon reduction technologies, presenting a comprehensive snapshot of the future of climate tech.
#CTS24 also hosted interactive side events, including startup acceleration programs and hands-on workshops, providing participants with opportunities for learning, networking, and collaboration. These sessions empowered attendees to adopt transformative technologies and take decisive climate action.
Attendee Experiences
The event received overwhelming positive feedback:
● Mark Haley , Co-founder of Cero3, shared, "We’re so proud to have unveiled our sustainable travel planner. The feedback and interest exceeded our expectations."
● Satyajit Mohanan , Projects and Business Development Coordinator at Cambridge Cleantech, remarked, "It was a pleasure to be part of this event. I met amazing people and look forward to the next edition."
● Dennis Chacko , Senior Sales Manager at the British Board of Agreement, shared his excitement over a unique sustainable pen: "Once used, you can plant it to grow something new—a powerful reminder of how everyday items can contribute to a greener future."
As this successful edition concludes, the organisers are already planning for a bigger, more impactful 4th Edition , with expanded content and greater opportunities to drive meaningful change toward a sustainable future.
...Read more
The increasing human population and demand for clothing are inevitable, but manufacturers must balance their efforts without overextending themselves. AI can help meet demand without exceeding supply, ensuring the sustainability of the planet's finite resources.
Apparel manufacturing uses AI in the following ways:
Enhancing the grading of materials: Although the human eye is a remarkable instrument, it is also fallible. Grading yarn and other base materials are one area where AI improves quality control (QC).
As a result of applying AI to this area, cost savings are realized, and the fundamental materials used in apparel manufacturing can be graded more precisely. Thus, AI can maintain a higher standard for materials than humans alone, thereby increasing the quality of finished garments.
Increasing the accuracy of final product inspections: A piece of fruit can even be discerned from its skin if it has been bruised through machine learning and computer vision.
Textiles and apparel manufacturing are equally inspiring applications. The condition and salability of newly made and previously worn garments can be assessed by algorithms coupled with specialty illumination systems. By measuring the amount of light that is transmitted and reflected, AI can determine whether a piece of fabric or a garment meets current quality standards at a glance.
The likelihood of Type I and Type II errors in a manufacturing setting was 17.8 percent and 29.8 percent, respectively. In the former case, inspectors miss real defects, while in the latter, false positives are made.
Apparel manufacturers can keep costs and errors down by using AI-powered automated inspection software. Identifying substandard yarn early in the manufacturing process can deliver value throughout the supply chain.
A tailor-made solution for the apparel industry: Artificial intelligence
Another area where AI can shine is sustainable and customized manufacturing. To facilitate cheaper and less resource-intensive custom clothing manufacturing, modern imaging techniques allow end-users to create 3D renderings of their bodies. ...Read more
Practical technology is catalyzing sector convergence, which entails the dissolution of conventional distinctions among diverse industries. This phenomenon fosters novel business paradigms, value constellations, and prospects, enabling organizations to harness technologies and proficiencies beyond their primary domain.
Key Technological Catalysts
Several transformative technologies are serving as the primary drivers of industry convergence, providing the infrastructure and capabilities that enable cross-sector collaboration and the creation of new value. The Internet of Things (IoT) connects physical assets to digital networks, generating vast streams of data that integrate physical and virtual operations. For example, smartwatches and fitness trackers, initially consumer electronics, now serve the healthcare sector by supporting remote patient monitoring and preventative care. Artificial Intelligence (AI) and Machine Learning (ML) build on this data by enabling advanced analytics, driving smarter decision-making, and delivering hyper-personalized services across various industries. Retailers utilize AI to predict consumer trends, optimize supply chains, and personalize shopping experiences. At the same time, financial institutions leverage it for fraud detection and algorithmic trading, thereby blurring the boundaries between technology and traditional banking. Blockchain adds another dimension by offering a secure, transparent framework for managing transactions and data across multiple parties, streamlining cross-sector collaboration in areas such as supply chain management by reducing reliance on intermediaries. The rollout of 5G connectivity provides the speed and low latency necessary to support these technologies at scale, enabling real-time communication between devices and seamless integration across various industries. Autonomous vehicles, for instance, depend on instantaneous connectivity with smart city infrastructure and other cars, exemplifying the convergence of automotive, telecommunications, and urban planning.
Impact on Business and Society
Sector convergence is profoundly altering conventional business paradigms. A single product or service no longer defines enterprises; instead, they are evolving into comprehensive ecosystems that deliver an array of integrated solutions. This evolution fosters novel opportunities for innovation, concurrently introducing complexities such as navigating intricate regulatory frameworks and managing data privacy across disparate sectors. From a consumer perspective, this convergence facilitates enhanced convenience, personalization, and seamless experiences; however, it also raises concerns regarding data security and market dominance. As the trajectory of applied technology continues its advancement, the demarcations between industries will inevitably diminish, thereby ushering in a future characterized by interconnected and integrated services.
Ultimately, applied technology transcends mere efficiency; it represents a fundamental force for change, reshaping the very structure of our economy. The future will be defined by ecosystems of integrated services, where companies succeed not by dominating a single sector, but by seamlessly connecting their offerings with others. This era of convergence promises unprecedented innovation and convenience for consumers. Yet, it also necessitates a proactive approach from businesses and policymakers to navigate the challenges of regulation, data privacy, and market power. Embracing this paradigm shift is crucial for companies seeking to develop in a world where the distinctions between sectors no longer exist. ...Read more
SCADA systems have long formed the backbone of industrial automation. They play a central role in many processes, from manufacturing to utility management, providing an overview and regulation. With the advancement of technology, the future looks set to change considerably for SCADA systems. Emerging trends redefine how SCADA works, further enhancing its capabilities and integrating it into the bigger context of industrial technology.
As it has evolved, SCADA has become integrated with the Internet of Things (IoT), generating massive data that leads to better decisions and process optimization. SCADA systems have begun integrating with IoT devices to provide more accurate and timely data across numerous inputs, improving operational efficiency and giving more profound insights into system performance.
It is revolutionizing the industry by adopting scalable, flexible, and cost-effective solutions that are much sought after by industrial requirements. These enable remote access to system data and controls, making management and troubleshooting easier. The shift towards the cloud has improved data storage and analysis capabilities for robust analytics and historical data review.
Cybersecurity is essential because SCADA systems are rapidly intertwining with other digital platforms. With increased cyber threats today, more security systems are needed to protect sensitive industrial information and ensure the system's integrity. Future SCADA systems will likely incorporate more complex cybersecurity features, including advanced encryptions, multi-factor authentication, and continuous monitoring against potential threats. Advanced security protocols would be crucial in protecting these systems from cyberattacks while ensuring the dependability of critical infrastructure.
AI and machine learning are also increasingly making headlines in the future of SCADA systems. AI algorithms can read vast volumes of data generated by SCADA systems to identify trends, predict when a piece of equipment needs to be serviced, and optimize all related processes. AI-powered predictive analytics can help prevent equipment failures, minimize time loss, and enhance system efficiency. Thus, AI in SCADA has marked a significant milestone in managing industrial processes more proactively, intelligently, and streamlined.
The trend toward edge computing impacts SCADA systems. Edge computing is a form of data processing closer to the source rather than being sent to the centralized cloud or data center. Since this reduces latency and improves response times, it also reduces the amount of data needing to be transmitted over networks. This can enhance SCADA's real-time monitoring and control, making management decisions more efficient. ...Read more