News & Updates
April 29, 2021
Manufacturers are looking to digitize their activities to meet the demands of the pandemic. The aim is to create a single operating mechanism that spans all available resources on a global scale.
This necessitates consistent structures and standardization, which must be facilitated by emerging technology, agile processes, and data access. It is essential to provide global insights into plant performance combined with business background from enterprise systems.
The greater the amount and the variety of data that learning systems can ingest, the more accurate they become. Digital processes and the capacity to process vast amounts of data are essential components of digital transformation.
A key element of adoption for digital transformation initiatives is value demonstration.
A large percentage of pilots rot in the “Pilot Purgatory” because they do not demonstrate a clear business value. Makoro™’s dashboard provides a continuous value demonstration of recommendations on specific business outcomes related to assets, maintenance, and workforce. These are quantified values that also act as incentives to continuous asset and process improvement.
Another impediment is workforce adoption.
Deployment of new tools often is too technology-focused. It does not put business capabilities in the hands of the existing operations workforce, the real catalysts who leverage their domain and process knowledge to derive value from these tools. Makoro™ is created for the operations workforce – for operators, maintenance engineers, floor managers, and operations executives. Makoro™ gives recommendations that are seamlessly integrated into their regular task workflows, making them easy to adopt.
We internally say that “Makoro™ solves the issues on the production line that keeps operators up at 8 o’clock on a Friday evening.” Do you really want to call the data scientists at that time to interpret data and drive decision-making? That’s where the natural language recommendations really make their mark.
A third barrier is the high cost of a scalable solution.
It is one thing to experiment with analytics – ingest data from a few machines, run experimental algorithms, and derive value (which is also a necessary step in the lifecycle) but building a scalable solution that works for thousands of assets and hundreds of devices per asset, and supports hundreds of workers across multiple locations needs well-thought-out vision, risk mitigation strategies, and investment plans. Makoro™’s Automated Operations and Continuous Intelligence scales up and down in a frictionless manner across devices, edges, and hybrid clouds to deliver the scalability that businesses need.
We should aim higher, but implementations must start smaller in scale, with an eye on delivering maximum impact. The rollout should be line-by-line and site-by-site, which mitigates risk and delivers value at each stage.
Want to know how Makoro™ can drive adoption, scale, and value in your business? Sign up for a demo.
April 28, 2021
During these times of social and economic distance, the incorporation of Artificial Intelligence into conventional manufacturing, supply chain, and quality management is already proving to be a game-changer across verticals.
AI is not only the trigger, but it is also the wheels. One of the growth drivers in manufacturing, with growing competition and declining margins, is to reduce downtime and improve asset efficiency. However, current asset performance management products and solutions are flawed. As they only offer data views in many shapes and forms without actually recommending solutions.
As a result, asset management is costly, arbitrary, unreliable, and inefficient.
When it comes to managing asset performance, more than 78 percent of our customers tell us that data alone is insufficient. And as the volume and complexity of data increases, it is impossible to dig through data to make the best decisions. There is no transparency in the decision-making process. There is also no validation in terms of acceptance of the decision and its impact on the business outcomes.
Makoro™’s innovative fusion of digital performance twin, artificial intelligence, and recommendations engine extends asset performance beyond reports and dashboards. It delivers real-time recommendations that demonstrate value to business continuously.
Makoro™’s always-on, stable, and scalable asset performance solution is driven by #AppliedArtificialIntelligence and #PredictiveRecommendations. It gives you a competitive advantage in the fast-paced #Industry40 while lowering downtime and maintenance costs.
Schedule a demo to see how we do it.
April 27, 2021
The term “Industry 4.0” is often used interchangeably with “Smart Manufacturing.” Despite widespread public confusion and initial business reservations about Industry 4.0, the benefits appear to be very promising. It is expected that over the next five years, an AI system will be able to run computers autonomously.
Additionally, AI benefits businesses by improving operating efficiency. It can further shorten time to market and reduce factory safety incidents. By connecting business data end-to-end, from supply chains to manufacturing, delivery, and use, AI will alert employees to both possible challenges and opportunities.
The first step in Implementing Smart Manufacturing in real scenarios is to collect data from a variety of structured and unstructured sources. It could be from IoT and IIoT systems, HMIs, PLCs, ERP, and CRM systems, as well as manual data records. Integrating data on raw materials, processing, manufacturing, shipping, distribution, and transportation all the way down to the customer level adds increasing value across the entire manufacturing supply chain.
But data collection and aggregation is the first step. The real value is realized by what businesses do with the data. Some go down the path of data visualization to understand data better. But advanced AI systems like #MakoroAI aggregate, correlate, and analyze this data in order to make recommendations that directly impact business outcomes and drive workforce adoption.
Makoro™’s always-on, secure and scalable asset performance solution. It is powered by #AppliedArtificialIntelligence and #PredictiveRecommendations gives you the edge in the fast paced #Industry40. Thereby reducing the downtime and maintenance costs.
Sign up for the Makoro™ 10-Day Outcome Challenge and see the results yourself.
April 26, 2021
Modernization has become more than just a buzzword in manufacturing; it’s a survival tool for established original equipment manufacturers (OEMs) In the era of born-in-the-cloud competition, innovative technologies like the industrial internet of things, artificial intelligence and cyber-physical systems accelerate manufacturing, enable hyper-demand economics, and reduce inefficiencies in the manufacturing floor.
Parts procurement, inventory management, ordering and shipping, customer account management, and product lifecycle services all play a significant role in brand reputation and customer satisfaction.
The ability to anticipate is a competitive advantage.
Partnering with a leader in product and customer lifecycle experience enables OEMs to focus on what comes next. A partner with a deep-domain understanding of the manufacturing supply chain coupled with a leadership position in predictive technologies can not only assume complete lifecycle improvement and customer lifecycle support operations but also provide a path to better manage your supply chain risks through predictive insights. This helps your business build intelligence in your operations so you are more aware and are better prepared to turn the right levers in your business transformation.
Striking the right partnership is key to any digital transformation. With the right partner, you can concentrate on new strategies and drive innovation while your partner takes care of product installation, migrations, ongoing maintenance, certified repair and refurbishment, through a channel-agnostic, pay-as-you-go delivery model.
Continuous value demonstration is key. The right partner will demonstrate the incremental value of your digital transformation initiatives and continuously improve upon the intelligence in your operations so you can achieve your e-cycling and sustainability goals.
CodeData is here to help you capitalize on new ideas and fresh perspectives so you can start rethinking your current challenges, plan to achieve your modernization goals, and come out on top as a leader of the next industrial revolution.
Schedule a demo to see how we can inspire you.
April 22, 2021
Despite the fact that continuously updated skills training is a well-recognized facet of the digital transformation, many industry observers see the current situation as dire. This issue is exacerbated by a wave of retirements on the one hand, and a lack of enthusiasm for manufacturing among young people on the other.
Moreover, educational programs aimed at helping new employees acquire the skills they need to enter the manufacturing field are not always as effective in addressing the need for the current workforce to continually update its skills, as digital transformation often brings rapid alterations to prevailing work processes.
Fortunately, much of the same technology facilitating Industrial Internet of Things data interchange can also be used to foster digital knowledge transfer by enabling workers to access unified databases of training materials and other content from any location.
Recommendations from Makoro™ extend beyond asset performance and operations and maintenance to the operations and maintenance workforce.
Additionally, through its #DynamicLearning capabilities, #MakoroAI helps you capture the #TribalKnowledge from your experienced and retiring workforce, which is then used to guide the younger workers entering the workforce. This facilitates worker onboarding, increases worker productivity, and drives #WorkforceEngagement.
To find out how the workforce of tomorrow – #WoT – can leverage the augmentation capabilities of Makoro™ to excel in their job responsibilities, schedule a demo today.