The recent Covid crisis and other calamities exposed a lack of nimbleness in supply chain networks. Can artificial intelligence make things right?
The business world has changed dramatically with the advent of the digital era.
Companies that optimize how they use automation tools can relieve pressure on teams.
Despite investments in technology and personnel, the ongoing quest for Australian businesses to see, measure and improve what’s happening across the supply chain remains elusive.
The current crisis should be focusing corporate attention on future risk management and continuity programs based on data, but will the lesson be learned?
Supply chains need to turn to cognitive technology to make better, quicker decisions. Such technological readiness is essential for agility - which, in turn, is essential for building strong industries and a strong economy
CPG companies invest billions each year in trade promotions.
Merck Healthcare has implemented cognitive automation technology from Aera Technology to drive a digital transformation of its supply chain operations.
Aera's Cognitive Operating System understands how a business works, so it can make real recommendations on how to improve performance and can act in real time.
New Advancements to Accelerate Adoption of Aera's Self-Driving Enterprise™ Technology
Automation as self-driving glass box - Aera's Fred Laluyaux on the firm's Cognitive Operating System platform play
Cognitive software provider Aera Technology has announced the launch of its new Cognitive Operating System.
Why executives must look beyond modernization toward AI, machine learning and other emergent technologies that are already starting to shape next-generation enterprises.
The CIO of Merck Healthcare, Alessandro da Luca, talks about how his organisation has automated its supply chain using machine learning software from Aera.
For decades, enterprise systems vendors have promised legacy businesses virtual omniscience—decision-making informed by real-time, comprehensive views of their organizations’ activities and relevant external factors. This holy grail has eluded large established organizations, with their complex agglomerations of systems.
Is voice a novel trend or does it have the power to transform business processes and operations? The answer is yes. But, when it comes to digital transformation, voice is merely the front end to a back-end integration of single purpose or multi-disciplinary systems and data. Voice is solely a user interface; it isn’t the where the intelligence or integration happens. That’s an entirely new layer of technology.
As digital natives continue to push the boundaries of convenience, traditional brick-and-mortar retailers have turned to omnichannel fulfillment as a mechanism to meet rising consumer expectations.
Businesses have to do more than digitally transform. Executives have to split efforts into modernization and innovation. They have to invest in innovative operational infrastructure, models and expertise that’s capable of competing against a new breed of digital native competitors.
Cognitive automation and artificial intelligence are core parts of the innovation strategy for many organizations. In this episode, we explore the impact of cognitive automation in the enterprise and share key lessons that you must understand in applications such as supply chain management and pricing and promotions for product distribution.
Pharmaceutical company Merck KGaA enlisted AI startup Aera Technology to help boost its decision-making through predictive and prescriptive modeling.
End-to-end visibility across the supply chain has become the Holy Grail for leadership teams. That goal is now within reach, as AI-powered cognitive automation is introduced into complex global supply chains.
From AI to ML to IoT, the new crop of supply chain technologies support a world where companies can use the past to predict the future.
Aera CEO Fred Laluyaux discusses artificial intelligence (AI), automation and the future of work.
Words cannot do justice to what Aera has. If you ever get the chance to see how they integrate data from internal (e.g., ERP), sensor and external data sources together and apply ML, process automation, workflow, exception handling, etc. to supply chain and other problems, do it. It’s amazing.
Read how companies can automate operational decisions, augment their impact and ensure they are acted on quickly.
Aera CEO Fred Laluyaux and Dr. David Bray, Executive Director of the People-Centered Internet discuss augmented intelligence.
Aera raises $80m and reveals big brand endorsements for its intelligent automation platform to speed large-scale supply chain demand planning.
Aera Technology landed $80 million in funding and plans to scale up its marketing muscle for its "Self-Driving Enterprise" catalog of artificial intelligence (AI) tools for supply chain decisions.
Investment to accelerate Aera's leadership in Self-Driving Enterprise™ technology.
Aera secured $80 million in a new round led by DJF, a growth VC firm with investments in such startups as Twilio and Box.
Aera Technology Inc. announced that it has raised $80 million in new funding to flesh out its vision for analytics.
Part 2 of the conversation with Kevin Syslo, and Joe Boggio from Capgemini's Applied Innovation Exchange in San Francisco, and Frederic Laluyaux, CEO of Aera Technology on how complexity can actually be a business advantage.
Learn how Aera Technology is making a real difference in the supply chain at Johnson & Johnson. The article also discusses how robotic decision automation is becoming a reality.
Aera believes its AI-based platform can support pharma companies through normal supply chain challenges, as well as manage larger disruption issues, such as Brexit. The company’s chief marketing officer, Ram Krishnan, explains how and why AI can support pharma companies in these respects.
For large corporations, supply chains define the word ‘complex’. Huge functional teams, immense spans of control, ever-increasing volumes of data, not to mention a massive reliance on partners, macroeconomic conditions, and ever-evolving consumer expectations. Despite this complexity, modern supply chains are incredibly adept at delivering results and providing a critical link between corporate strategy and the end consumer. Kevin Syslo, and Joe Boggio from Capgemini's Applied Innovation Exchange in San Francisco, and Frederic Laluyaux, CEO of Aera Technologies discuss how this complexity can actually be a business advantage in part 1.
Aera Client Partner, Fred Fontes, outlines the challenges of artificial intelligence adoption, and how companies can unlock its potential for their enterprise.
Suppliers are scrambling to meet Walmart’s tighter standards for delivery performance — and they can expect the giant retailer to keep raising the bar.
Achieving true end-to-end supply chain visibility relies largely on digitally connecting things and data as a first step. Robust, secure cloud technology combined with artificial intelligence (AI) and other emerging technologies are working together to develop next-gen supply chains with a host of features and capabilities.
Aera President and CEO Frederic Laluyaux joins hosts Ray Wang and Vala Afshar to discuss cognitive automation, artificial intelligence (AI) and how large companies are adapting to meet consumer demands.
Aera's CMO Ram Krishnan outlines how artificial intelligence (AI) can inform and augment executive business decision making.
How can systems evolve to allow prescriptive suggestions for resolving near real time problems? In other words, how can we build a self-driving supply chain? And how do we make use of machine learning to make sure the system gets better and better over time? It is not a simple question.
“I rarely write about technology from a single company. But I was impressed by what I saw and heard. If you like jargon, then we are getting close to having cognitive automation for a self-driving supply chain. If not, this is a cool solution that helps to bridge planning and execution.”
Business is becoming automated at every level. Not just in terms of physical automation in manufacturing and engineering plants with their sensors and Internet of Things (IoT) connections, but at a deeper strategic planning and operational level driven by software intelligence.
Aera CEO Laluyaux - AI, self-driving and why it's time to stop being excited by old enterprise software 'innovation'
A catch-up with Fred Laluyaux, CEO of Aera, covers a lot of ground.
In our AI-driven future, machines will take over data collection and number-crunching chores traditionally handled by planners. This scenario goes a step further with a cognitive operating system. This uses AI to think and learn over time and deliver specific recommendations to optimize supply chain operations.
Silicon Valley-based Aera Technology says that it has developed the first “cognitive operating system” that gives enterprise users new insights and recommended actions to improve their business performance.
Business intelligence software vendor Aera is both a new organisation and a seasoned one at the same time.
Digital transformation has become a critical imperative to address the weak link of ATP/CTP in the pharma supply chain.
Laluyaux discussed how organisations are already embracing cognitive automation to transform their business operations allowing these companies to reduce working capital, improve efficiency and service levels to clients, and accelerate innovation.
After the self-driving car, welcome the self-driving enterprise – and all its pyramid organization implications
A self-driving enterprise with its own Cognitive Operating System – a big picture vision of organizational change from Aera CEO Fred Laluyaux.
Pour Fred Laluyaux, CEO de Aera Technology, l'IA aura intégré l'entreprise de demain de façon à réécrire les processus créatifs pour mieux faire rayonner l'intelligence collective des collaborateurs.
Supply chain has come a long way from its spreadsheet-driven days of the past, especially in the pharmaceutical industry. Software and cloud-based systems help power the productivity of our pharma supply chains every day, and 2018 is looking even brighter.
AI has emerged as a hot topic in supply chain management to handle precisely this challenge. Innovative organizations are applying artificial intelligence and machine learning against vast sets of supply chain data to unearth insights into problems and performance that are effectively beyond the reach of even the most skilled planning professionals. A common question I hear is,“How do we get started?” I’d like to offer three suggestions.
Over the years, organizations have deployed an array of transactional and analytic systems for supply chain operations. While gains have been made, supply chains remain far from the ideal of real-time visibility and data-driven decisions that define the supply chain of the future.
The global pharmaceutical market has long passed the $1 trillion mark and is projected to grow at 6.3 percent CAGR through 2022. Pharma supply chains are complex, highly regulated, and reach a customer base rivaled by few. The increased access to copious amounts of data and the rise of data-driven technologies — including artificial intelligence, IoT, and cognitive computing— are transforming capabilities to manage this massive network of manufacturers, distributors, pharmacies, and patients.
As the chief people officer at Aera Technology, I’m in charge of building out our global workforce. Interestingly, when it comes to AI in business, distinctly different roles — say, in development and customer-facing positions — share similarities when it comes to seeing the potential of using AI to improve an organization.
Think of it as the conversation shifting from pain to gain. Unanimously, these businesses seem to believe in the concept of transformation, using artificial intelligence and extending human intelligence. The new focus is not on the data but on the system that distributes executive intelligence.
The cognitive operating system provides the computing connectivity. Laluyaux said that Aera’s system crawls transactional systems, like Google crawls websites. In some cases, their system has to crawl 54 different ERPs at one company, which is not unusual.
What is cognitive technology? Fred Laluyaux, CEO of Aera Technology, tells CXOTalk about AI, machine learning, and the self-driving enterprise that brings data from multiple systems to make decision-making faster and more reliable.
“When you’re a first-time CEO, you’re trying to be Mr Perfect, and that doesn’t necessarily work. People don’t expect you to be perfect. They expect you to lead. They expect you to make fast decisions. They expect you to assume your responsibilities. It’s something that’s a bit hard to understand when you’re coming into the job for the first time.”
This episode provided great insights on data, AI, analytics and turning data into decisions. Aera Technology’s CEO Frederic Laluyaux explained how Aera’s cognitive technology enables the self-driving enterprise and shared his views on big opportunities in AI and machine learning and what’s real beyond the hype.
Let’s face it – most companies are still grappling with automating transactional workflows. But the team at Aera is pushing ahead into cognitive automation, putting pressure on stale ERP models as they go.
Using Aera’s software, Merck KGaA was able to increase its level of service of pharmaceuticals to hospitals from around 97% to 99.9%, De Luca says – a big difference in its reputation for reliability. "Voice capability is part of the promise, says investor Jon Sakoda, but Aera’s greater opportunity is for its cognitive tools to gradually expand into more and more workflows beyond the supply chain."
“We are talking about a new era, applying Internet scale technology to the problems facing the enterprise,” said Fred Laluyaux. Just as a self-driving car uses sensors to recognize, analyze and react to the environment outside, Laluyaux said an AI-based self-driving enterprise would look at all things happening outside the organizations, like transactions and the supply chain, and take action.
Leveraging the company’s operating system, cognitive software like Aera can learn how the business works from the inside and the outside, making real-time recommendations, predicting business outcomes and enabling autonomous actions.
Chatbots, machine learning and fraud detection are real, and excitement is building for algorithms that can forecast better than humans. But true AI remains a slippery concept.
Diginomica heralds the rise of Aera and the need for the Self-Driving Enterprise. "Most ERP systems are stuck in the past or are improving incrementally. The next wave of productivity savings for businesses will likely come from technology vendors you’ve never heard of. They’ll come from firms unfettered by traditional ERP transaction processing systems. They’ll come with a different business viewpoint and solve very different problems. It’s all these differences that will make this new productivity wave come to life."
Globalive Chairman Anthony Lacavera sits down with Aera's CEO Fred Laluyaux Aera to talk about cognitive automation, artificial intelligence, and how Aera offers proactive suggestions for improving outcomes and making better decisions.
"We bring all of the data of an enterprise into the cloud and analyze it, looking for opportunities and risks that can be brought to the attention of our customers and then we learn from the decisions that they make about what to do about the situations."
The offering essentially combines capabilities from the world of data visualization software and chatbots, an approach that could go a long way towards setting Aera apart in the highly competitive business intelligence segment.
By using Aera, companies should be able to move from automating their transaction processing and move towards automating their decision making, according to Fred Laluyaux, the startup’s CEO.
Imagine you could take the ideas behind self-driving technology - technology that works in real-time and is always-on, that internalizes its surroundings and that distills data instantly to solve complex problems - and apply it to the enterprise. Welcome to the Self-Driving Enterprise.
Aera’s platform acts as the company’s brain, continuously scanning internal and external information.
Leveraging Aera, Merck KGaA, Darmstadt Germany is developing a self-driving supply chain to respond to market opportunities faster and serve patients and customers better. Aera predicts demand and recommends optimal production and product routing, measures business performance in real-time and proactively alerts users to risk and opportunities.