BUSINESS PERFORMANCE

THROUGH ARTIFICIAL INTELLIGENCE

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ARTIFICIAL INTELLIGENCE BASED OPERATIONAL EXCELLENCE

AI Powered Business Performance in Logistics and Transportation Industry

Until a few years ago transportation and logistics was dependent on the traditional mechanism, but with the increasing acceptance level for adopting new techniques and systems for operations, logistics systems can be more controlled and monitored by AI.

AI Based Customer Services

FedEx, the global leader in logistics and delivery services, is employing data analytics, predictive modelling, artificial intelligence (AI) and machine learning to improve its own operations and allow customers to better track deliveries and monitor sustainability. The company shared its experience with these technologies at a presentation by Clayton Clouse, director of data science at FedEx Dataworks.

FedEx Dataworks is a platform that combines the company’s digital and physical networks to create a scalable platform of interconnected data, insights and information. It is designed to improve supply chain visibility and increase predictability by capturing real-time data about every package, shipment, delivery route, environmental condition, customer delivery location and delivery date.

AI provides personalised data-driven service throughout the customer’s lifecycle by leveraging AI technologies to improve the experience. Building a unified customer servicing platform AI helps standardise customer services and improve experiences.

AI Based Process Reengineering

DHL innovation teams bring together technology experts to develop advances that have included DHL Smart Sensors for accurate geo-tracking, the use of RFID across the technology supply chain, automation and robotics, augmented reality and big data analytics solutions that provide real-time end-to-end supply chain.

As companies introduce new products and services or restructure their networks, cost pressures will require switching or adjusting processes. Logistics companies  explore AI automation possibilities, touchless operations and enhancement capabilities to bring harmonisation and standardisation for productivity improvements and operational efficiency.

AI Based Green Logistics

 Kuehne+Nagel proactively addresses climate change and is driving a global zero carbon future for their customers. Kuehne+Nagel is committed to the Science Based Targets initiative (SBTi), offering the customers: Data-driven insights, design and optimisation of supply chains—through alternative transport modes, routes and carrier options—and low carbon fuels.

AI Green logistics: With strict emission regulations, sustainable AI logistics will be a focus area for T&L companies. Target aspects of AI packaging, mode of transport (rail, ocean, intermodal), type of vehicles (autonomous), load planning, route planning, optimization, etc., reduce carbon footprint and improve sustainability. These improvements will also help operational efficiency.

AI Based Merger and Acquisition

UPS has acquired 24 companies, including 4 in the last 5 years. A total of 8 acquisitions came from private equity firms. It has also divested 4 assets.

UPS’s largest acquisition to date was in 2015, when it acquired Coyote Logistics for $1.8B. It’s largest disclosed sale occurred in 2021, when it sold TForce Freight to TFI International for $800M. UPS has acquired in 6 different US states, and 8 countries. The Company’s most targeted sectors include transportation (72%) and business services (5%).

There has been a significant rise in M&A transformation deals to create value and use transactions to transform businesses providing a pathway to growth.

AI integrated approach ensures a complete understanding of the acquired company’s value stream, business capabilities, operations and IT enablers. This AI approach helps with value creation and delivery.

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The future of AI use in business performance

Artificial intelligence companies are captivating audiences in USA

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The future of AI use in business performance

New advances and use cases in AI put forward precise and accurate information to help telecommunications, automate routine tasks, and can provide detailed insights in many businesses. This leads to improved performances in customer satisfaction and reduces costs.

In every business process AI has a presence from mundane to the breathtaking. It is already disrupting every business process and every industry. Now, AI has become a symbol of competitive edge. The future of AI may be brighter and it can brighten the civilizations in business. Life has become easier controlled by machines.

AI has shown the way to driverless cars. Large numbers of data has been trained through GPUs and it has been possible to a great extent. Graphic Processing Units (GPUs) are improving the applications of artificial intelligence software.

AI can read the mind of the people and crowd looking at the physical aspects of individuals and crowds. AI can control the augmented reality of space, entities and business enterprises.

AI is able to process business data in less time and data analysis and decision making has been reached to an extraordinary level. Business leaders, analytics in charge are uncovering valuable insights. Predictive analytics uses machine learning algorithms, data mining, and statistical techniques to accomplish the work.

AI algorithms can determine patterns and engage in predictions over time. Customer engagement has reached new heights. Large corporations are using predictive analytics from higher production to reducing costs to leveraging the company every way. The best leaders of the world are engaging AI for better use in analytics and reporting. It depends how the powerful leaders of the world want to leverage AI in which directions.

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Artificial intelligence companies are captivating audiences in USA

Amid the heightened interest, businesses are looking to capitalise by incorporating AI into their workflows and products. Tech companies are offering AI hardware, software, development tools and improved efficiencies.

Adobe’s stock image library now accepts content created with generative AI technology and also offers its own art generator named Adobe Firefly. Adobe also incorporates AI in its Experience Cloud offering for marketing and analytics.

In addition to being Google’s parent company, Alphabet Inc. recently released an AI-powered chatbot named Bard. Google also offers other AI-related products, services and research initiatives. At Google I/O 2023, Alphabet demonstrated how generative AI will be added to Workspace and Android devices.

AWS has several AI and ML offerings, including Rekognition for facial recognition, Comprehend for text insights and relationships, and SageMaker for building ML models at scale. Amazon also uses AI in its e-commerce offering, Amazon.com, and the Alexa voice assistant. Currently Amazon has its eye on drone delivery, which would incorporate AI as well.

Baidu operates the second largest search engine in the world — behind Google – and the top engine in China. It touts several other offerings, including a mapping service, online encyclopedia, cloud storage service and an AI-powered chatbot named Ernie Bot.

C3 AI is an enterprise AI application software company that offers a generative AI product suite for predictive insights. C3 provides industry specific software for finance and oil. The generative AI application is a standalone product but is integrated with other C3 applications, including C3 AI ESG, C3 AI Readiness and C3 AI Supply Network Risk. DocuSign (DOCU), the e-signature software provider uses AI to analyze and extract information from contracts and has AI-powered digital identity verification features, which helps the company comply with EU and UK regulatory requirements for qualified electronic signatures.

Nvidia Corp. makes high-powered graphics processing units that power AI. Nvidia also provides APIs for high-performance computing and data science as well as systems-on-a-chip for the automotive market. It also has a suite of AI-powered software development kits named Nvidia Maxine.

Oracle is a cloud computing company that develops and sells database software and technology. Oracle Cloud Infrastructure helps developers add AI to their applications. Oracle also has a partnership with Nvidia. Palantir makes Gotham, an AI-powered government platform for finding patterns in data to locate and respond to terrorism threats. Palantir also offers AI-powered data mining platforms to let businesses streamline processes and manage enterprise data. Gotham can be used to restock and optimize retail supply chains.

Snowflake (SNOW), the data warehousing company designed its platform to support ML and AI-driven data science applications. The data platform stores, analyzes and shares large quantities of structured and unstructured data. This is especially useful for real-time video streaming data. SoundHound (SOUN), the audio and speech recognition company offers a multimodal AI platform that integrates voice, imagery and touch. It has a voice-enabled digital assistant, a music recognition mobile app and a developer platform.

Taiwan Semiconductor Manufacturing creates chips needed to power many technologies, including mobile phones and electric cars. Many of the technologies that use TSMC chips also use AI. TSMC is self-described as the world’s dedicated semiconductor foundry. Tesla is an electric vehicle maker that owns a large pool of driving data. Having a large proprietary data set helps companies succeed when using AI because it gives their offerings a unique training set and gives other companies a unique data set to train their models on.

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How to Perform Products Innovation in the Biotech Industry 

AI leading to High performance model

Novo Nordisk Headquarter

Novo Nordisk makes long-term investments in novel treatments and technologies, including curative stem cell-based therapies, to continually advance the development of medical devices and digital health solutions. Operational excellence through AI means coming up with better and new ways of developing products, filling orders, and providing customer service, or doing any other activity that an organisation performs.

      AI Digital technologies

At Moderna, building a AI digital biotech is a foundational component and is a key enabler of its mission to create a new class of mRNA medicines for patients. Incorporating digital into everything is mission-critical to Moderna.

AI Digital accelerates Moderna’s digital transformation. A wave of digital technology, designed to make the biotech industry smarter is shaping a new environment for the industry that bears little resemblance to the shop floors of the past.

People engagement practices through AI

Regeneration explores a Spectacular Science and the scientists are building the medicines of tomorrow, marrying the best of biology and technology to revolutionise how they target and treat serious diseases.

The high-level of required excellence can only be accomplished via an incremental and maturity-based AI approach to operational excellence as well as the best fundamental people and staff engagement practices..

Automation

Vertex is a global biotechnology company that invests in scientific innovation to create transformative medicines for people with serious and life-threatening diseases. We discovered and developed the first medicines to treat the underlying ca⁸use of cystic fibrosis (CF), a rare, life-threatening genetic disease.

Another indisputable way to improve operational excellence is automation! Time spent on tedious tasks is the time that could have been better spent on higher impact areas of your biotech operations. What you can do is select a perfect web-app or company for your needs which will assist you to achieve better operational excellence. Like- go for an application that has automation in it so that you won’t have to do repetitive tasks again and again!

R&D and Innovation through AI

Novavax, Inc. is an American biotechnology company based in Gaithersburg, Maryland that develops vaccines to counter serious infectious diseases.

Prior to 2020, company scientists developed experimental vaccines for influenza and respiratory syncytial virus, as well as Ebola and other emerging infectious diseases.

Universities and academic linkage through AI

Universities and academic institutions are considered as the hub for innovation where researchers gather to share their ideas and develop new ones with cooperation. Also, university education signals that the degree/diploma holder is a part of skilled human capital. Biontech apply AI to make linkage with university.

Many countries have been actively drafting policies and allocating finances to support AI education and research and development infrastructure supported by AI.

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Developing Business Performance through AI in Pharmaceutical Industry

Operational excellence (OPEX) is a key goal for any competitive organisation, as speed, efficiency and any other benefits afforded by optimised processes are critical enablers to success. It is especially true in the pharmaceutical industry, where intense competition and strict regulations make it essential that processes are optimised to avoid losing time and resources attempting to beat the competition to market or ensuring compliance. The world is full of examples.

Merck automates production processes

Many pharmaceutical companies  revolve around how to be faster, cheaper, more compliant and more sustainable. As such, there has been an effort in the pharmaceutical space to automate elements of the manufacturing process to enhance speed and efficiency and eliminate human error.

In December 2020, Merck teamed up with Siemens with the goal of achieving automation for its modular production, to allow for more flexible and efficient manufacturing and to better deliver treatments and medicines to customers.

The time needed from the product idea to market readiness is a critical success factor. [Digital manufacturing] allows data-based decisions to be made as early as the product development phase and applied seamlessly to the production process. Therefore, in the future, Merck will be able to respond quicker and even more flexibly to high customer requirements.

Elekta improves with centralised digital platform

Elekta Is a  manufacturer of radiotherapy treatment for cancer and brain disorders. Upon reviewing its business processes in 2017, Elekta found that its paper-based records were both costly and inefficient, with manual execution of processes such as compliance checks leading to costly errors. Physical documents for just one medical product would require 800 manual signatures and 1,200 folders per year.

To address this, the company decided to implement a centralised data management system that would enable staff to view its products, processes, auditing information and track orders via a digital platform.

The result has been significant, with Elekta reporting that it has doubled revenue over the last five years, with orders at one facility rising almost 35 percent. Aside from this, the business has achieved cost savings of around $85,000 from printing and storage following the switch.

The payback is already coming from cost savings, increased efficiency and easier compliance. It also benefits from freeing up resources to enable our business to innovate more and greater agility to respond to our customers’ demands.

Sanofi accelerates time to market with AI

The speed of drug production has always been a key factor in determining how competitive a pharmaceutical organisation can be. When seeking to develop a drug to treat a particular disease or condition, it is unlikely that a pharmaceutical organisation will be alone in doing so. As such, optimising efficiency to allow drugs to be brought to market as quickly as possible should be a major goal for any pharmaceutical business.

Sanofi, noted in an interview with Pharma IQ that the pharmaceutical giant has been taking steps to enhance time-to-market through the application of artificial intelligence (AI) to accelerate drug discovery and development and deliver higher quality and better targeted molecules.

AI is able to analyze much larger data sets than humans and make recommendations based on that data much faster than humans can. Sanofi is applying it to clinical research data to make on potential molecules that could treat the targeted ailment, which has accelerated the process significantly.

When we start to think about the data and how can we more precisely identify the target we should go after, [using AI] is how we are able to accelerate time to market and also gain a higher probability of success in the clinic, which ultimately leads to increased productivity.

Leveraging AI in Pharma Lab

As the industry continues to evolve, pharma manufacturing leaders need to leverage AI for a new approach to performance improvement.

From supply chain inefficiencies to siloed functions and more, today’s pharma manufacturers have many opportunities to enhance operational performance through AI.

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Features such as real-time data monitoring, cloud solutions and process integration comprise a digital operational excellence approach that adds value.

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Successful deployment of these and other digital solutions requires cross-functional collaboration across the full lifecycle of the project.

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Shifting from generic to personalised drugs, expanding biosimilar markets and managing smaller commercial batch sizes is possible through AI.

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Our consulting on business performance through AI is managed by a dedicated team from the US.

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AI-powered insights enable organisations to identify inefficiencies and bottlenecks within their processes. By analysing data, AI algorithms can provide recommendations for process optimization, automation, and resource allocation. This helps businesses streamline operations, reduce costs, and improve productivity.

It can streamline product development processes, automate certain tasks, and reduce time-to-market, allowing companies to launch products and services faster and gain a competitive edge. With the help of AI, businesses can accelerate innovation and achieve sustainable growth.

From marketing to human resources, AI is being used throughout organisations to automate tasks, improve data analytics, and make smarter decisions more quickly. Some of the top emerging trends in AI include generative AI and natural language processing (NLP) tools like ChatGPT, machine learning, and deep learning.

AI software can give customers quick answers to simple inquiries, allowing human agents to spend more of their time resolving complex issues. AI customer experience solutions are important because they can process vast amounts of data quickly, enabling them to meet consumers’ needs effectively.

Benefits of AI for business are better decisions., efficiency and productivity gains, improved speed of business, new capabilities and business model expansion, personalised customer services and experiences, improved services, improved monitoring,  better quality and reduction of human error.

Investments in AI have led to transformative advances now impacting our everyday lives, including mapping technologies, voice-assisted smartphones, handwriting recognition for mail delivery, financial trading, smart logistics, spam filtering, language translation, and more.

America has long been the global leader in this new era of AI, and is poised to maintain this leadership going forward because of a strong innovation ecosystem.

In 2020, in the USA  services accounted for 81% of overall GDP, manufacturing 11%, other industrial activity 7%, and agriculture 1%. Looking at GDP by expenditure, private consumption accounted for 67% of GDP in 2020, government consumption 15%, fixed investment 21%, and net exports -3%.

Biggest industries by revenue in the US in 2024 are health and medical insurance, hospitals, pharmaceuticals wholesaling, new car dealers, life insurance and annuities , public schools , gasoline and petroleum wholesaling , retirement and pension plans.

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