AiiA summer roundup on Industry
Thought provoking pieces on the affect of AIAdd bookmark
The economy is doing well and industry is booming. We’ve gathered this summer’s relevant industry tech articles on autonomous vehicles, defence, fintech, oil & gas, and pharma.
The automobile mechanic has had to evolve with the rapid advancements of the industry, from Model T to today. From relatively straightforward knowledge of the car’s mechanical and hydraulic systems, a mechanic has had to become as much an electrical as mechanical engineer. This is thanks largely to the rise of the OBD (onboard diagnostics) system. This article touches on:
- The emergence of self-diagnosing vehicles
- The future of auto repair
- Maintenance requirements of Mobility-as-a-service (MaaS)
- The continued need for qualified auto mechanics
It’s hard not to overstate just how different the world’s vehicles could become if the connected, autonomous, shared and electric vision of the future fully materializes. The first part of this series goes over:
- Human-machine interface (HMI)
- Advanced driver assistance systems (ADAS)
Connected, autonomous, shared, and electric (CASE) vehicles are broad topics that define the future of the car.
However, their success depends on the successful relationship between man and machine remaining intact despite increasing technological sophistication. Part two dives deeper into:
In this article, we examine the differences, similarities, strengths, and weaknesses in three experimental solar powered cars: the Lightyear One, Toyota Prius solar experiment, and Tesla Solar
In his prophetic 2015 presentation, "Confessions of a Capital Junkie", Sergio Marchionne, the then-CEO of Fiat Chrysler Automobiles warned that the industry was plowing too much of its capital into disruptive technologies with little hope of short-term profits.
Four years later and much of what concerned him is coming to pass, with manufacturers across the globe suffering significant knocks to their bottom line profits. There are silver linings, however, as this article outlines.
From robotics and AI, to open architecture and life-cycle support - military speakers from IAV 2019 share their thoughts on the future of armoured vehicle design and land warfare in this downloadable report.
From supply chain management to identity management, blockchain has huge potential in the defence and security sector, but it isn't a panacea. Read about:
- How blockchain in the defence sector works
- The case for blockchain in defence to deliver value now
- Managing supply chains
- Access and identity management
- Setting the conditions for success
- Acting in anticipation of the hype
Eitan Goldstein, senior director of strategic initiatives for Tenable, explores the real-world challenges the gas industry faces securing operational technology.
After 19 years of counter-insurgency operations, the US and its allies are reorienting their training back to near-peer conflict. However, the difficulties in training a modern defence force against near-peer threats include high expenses, reduced capacity to provide repeat training and an inability to provide realistic threat scenarios conductive of real operational situations.
Doug Livermore speaks to Defence IQ about how virtual training will be vital for the reorientation toward near-peer conflict.
Defence IQ talked to ERA’s Commercial Director Ondřej Chlost and Simulation Production Manager Martin Zach to discuss future air defence and simulation technologies.
Colonel Dan Cheesman, Chief Technology Officer, Royal Navy discusses the main challenges in integrating a manned-unmanned autonomous capability for the Royal Navy.
The US National Defence strategy signalled a shift in focus away from counter-terrorism towards near peer competition. To achieve this, the US is bolstering conventional military strength capabilities such as nuclear ballistic missiles, increased naval projection and ground force modernisation.
In the current environment, simulation technologies have become essential for meeting optimal force readiness.
As an industry stalwart who has led the digital transformation at this insurance powerhouse, we asked Henna, AXA XL’s chief data officer, some of the key questions currently facing financial services.
Digital transformation is driving a generational paradigm shift within financial services. Within commercial banking and payments the race is on to adapt to consumer behaviour, and millennial demands for a strong User Experience. We hear from Stephen on his opinions on digital transformation, GAFA and how they continue to innovate.
Vibe Tickets is building their own payment solution by taking full advantage of PSD2 and open banking. Cutting out third party providers and transaction fees with its service VibePay, Vibe Tickets fit a niche vantage point hanging between merchant and payment provider.
But before introducing their merchant and marketplace solution, VibePay is launching a consumer app which allows friends to socially plan and pay in groups. We hear how their CEO Luke Massie sees the lay of the land.
The competitive landscape in payments is changing significantly through regulatory intervention. This free on-demand webinar sees some of fintech’s finest thought-leaders discussing the key players to watch and emerging business models that are likely to win out.
Fintech is the ‘new normal.’ Research conducted by the financial advisory business deVere Group, has shown that more than half of banking and financial service customers use the technology on a regular basis.
- Winning the Grey Vote – How to Survive and Prosper The Challenger Banks Need To Diversify Their Client Base
Challenger banks are going to need to diversify beyond millennials. They are going to need to get out to the masses who are being directly impacted by the gradual death of the high street, and the banking branch closures that are happening across the country. UX is key.
Oil & gas
Fuel integrity is essential to an oil company’s brand promise. As the downstream fuel supply chain becomes increasingly complex, companies must protect their revenue, brand reputation and customers from unpredictable threats – ranging from terminal issues to intentional acts of manipulation.
In its latest report, Authentix, which has more than 25 years experience helping companies design, implement and enforce fuel marking programs, explores why companies should adopt a fuel protection program.
By adopting a solution such as ensuring they mark their branded fuel supply with covert markers, inspectors can detect minor amounts of dilution, substitution or quality issues in the branded fuel. These innovative solutions provide brand owners with stronger market transparency and predictability, helping them to secure the supply chain.
This high-fidelity simulator, known as a “digital twin,” runs in parallel with the real control system, making advanced testing possible to ensure any changes won’t impact the supply of electricity
The lack of supply chain data and subsequent corrective and preventative actions exposes brand owners to the ubiquitous risk of fuel manipulation. Fuel manipulation can occur through negligence, system failures, or deliberate illicit acts. Regardless of the cause, when it occurs it can have damaging and lasting effects on consumer confidence and the integrity of branded products – resulting in lost revenue and competitive advantage.
Fuel integrity failures lead to significant revenue losses, brand damage, environmental pollution, poor vehicle performance and increased consumer complaints. To avoid these industry challenges, many branded fuel companies and government agencies are implementing fuel authentication programs throughout the supply chain.
Unfortunately, fuel manipulation is not uncommon as the oil and gas industry operates with increasingly complex supply chains. And it’s easy to lose control of complex systems. When fuel enters your supply chain, it moves through fuel terminals to wholesalers and retailers that may include franchisees, oil marketing companies, sub-distributors, carriers, open dealers, and independent store owners. Fuel manipulation can occur at any stage of that journey.
In their latest whitepaper on the topic of Digital Twin technology, Emerson discuss the considerable benefits of digital replica tech for the oil and gas industry. Providing an accurate replica of any asset, process, or facet of industry - this software-based representation technology can provide value to end-users in a variety of phases of projects.
The oil and gas sector has never been so vulnerable to cyberattack. Every part of the oil and gas value chain is currently exposed, and conventional static defences no longer suffice. Read more about:
- Why and how every sector is vulnerable
- The obstacles to cybersecurity
- How SCADA threats are real
- How to reduce risk and protect SCADA systems
Sourcing is a time consuming and costly process for many pharmaceutical companies. But Kellan Barfield, CEO of SOURCE EXPLORER, believes there is a better way, it just requires a bit of matchmaking.
Pharma IQ sat down with Kellan to find out the frustration that drove her to break away from the traditional process, why vendors need to start leading with transparency and how project managers can gain back control.
If there was one word to describe the biggest challenge life sciences companies face when it comes to data management, it would be legacy. With little of this data managed well and stored in a way that was easy to access and recognize, vital knowledge and findings were locked within disparate siloes. Read on to learn about:
- The legacy of ineffective data management
- Putting the FAIR principles into practice
- Quality by design
- How FAIR can lead to new findings
Dan Boot, Head of Digital, Disruptive Innovation and Dave Evendon-Challis, VP of Innovation at RB offer insight on the most significant trends in the consumer health industry. He touches on:
- Digital citizenship
- Artificial Intelligence
- Personalized medicine
- Digital innovation in healthcare
The biopharma manufacturing environment is dynamic, facing a number of pressures which will undoubtedly lead to significant change. To find out what the most impactful changes will be in the next 12 months, we spoke to leading industry experts, including Elanco, Bayer, Janssen and Ipsen to hear their thoughts.
Transitioning to a ‘smart’ laboratory environment offers a clear opportunity for increased efficiency and productivity. However, without support from all levels and a comprehensive transition plan, you can invest in technology but fail to reap the full rewards.
To help you manage the transition, Christopher Boone, Vice President of Global Medical Epidemiology & Big Data Analysis Lead at Pfizer and Ashley George, CFO and Co-Founder of the Pistoia Alliance and Former Head of Innovation at GSK, share the lessons they learned on achieving lasting change in the lab.
Caroline Shleifer discusses the true cost of non-compliance and how RegTech can mitigate damages.
Currently, many AI systems are focused on problem solving and pattern recognition, with a majority looking at a very specific goal. There is also a wide range of applications of AI, ranging from those that simply augment a human’s ability during a decision making process to machines that are more autonomous in nature. This article answers questions like:
- How is AI being used in the life sciences industry?
- What do the Pharma IQ experts think about the use of artificial intelligence in pharma?
This paper, authored by Alireza Shabani, Founder & CEO of Qulab, describes the necessary computational architecture for pharmaceutical firms to accelerate R&D and drug discovery, especially utilizing special purpose silicon and quantum processors.
Read the paper to learn about:
- A New Computing Frontier for Pharma R&D
- Application-Specific Integrated Circuits
- Quantum Computers
- Digitization and automation for Pharma R&D
Praful Krishna of Coseer shares how AI tools can help pharma giants navigate the growing complexity of M&A.
Artificial Intelligence can greatly benefit the drug discovery field by lowering the high failure rate, high cost, and finding novel intellectual property. However, the hype surrounding the use of Machine Learning (ML) and Artificial Intelligence (AI) can be found in almost every field today. When AI/ML is applied to drug design, many problems hinder progress.
An exciting option is the use of Augmented Intelligence, which is the application of AI methods (such as big data and ML to enhance available information), computational chemistry, and other non-AI algorithms. Augmented Intelligences overcomes several problems encountered in common applications of AI & ML in drug discovery, as is exemplified in this manuscript.
The way that we work is changing.
We’re on the cusp of smarter research environments and unprecedented breakthroughs with big data, paperless processing, automation and integrated management systems.
But how do we get there?
This report contains insight from:
- April Pisek and Unjulie Bhanot, Solution Consultants at IDBS on how to build a smart lab from the ground up, the processes to focus on and the real impact of inefficiency in the lab
- Marc Siladi, Data Analytics Product Manager at ThermoFisher Scientific on steps to future proof your lab to match the pace of innovation
- Steven Brown, Global NTO Data Integrity Team Lead at Novartis and Daniela Janssen, Director of Product Marketing at Dassault Systemes on how to build data integrity into your smart lab systems and make compliance far easier for your team
- Christopher Boone, Big Data Analysis Lead at Pfizer and Ashley George, CFO and Co-Founder of the Pistoia Alliance on how to tackle objections in your organizations and get buy-in during your digital transformation