Companies often kiss more frogs than princes when it comes to artificial intelligence investments. Much has changed this year. The new normal brought about by the COVID-19 pandemic has affected everyone and everything. Globally, companies have been forced into crisis management mode: adapting, retooling and training employees to work remotely while adopting new technologies to stay productive. During all of this, corporate CEOs are trying to accomplish three primary objectives for their business: maximize growth, minimize risk, and protect margins. They have become even more challenging in manufacturing, considering the new work rules, the changing corporate remote work policies, and the use of conventional manufacturing technologies.
In an era of constant change, companies' data and analytics capabilities must rapidly adapt to ensure that the business survives, never mind competes. Organizations seek insights from their data to inform strategic priorities in real time, yet much of the historical data and modeling formerly applied to predict future behavior and guide actions are proving to be far less predictive, or even irrelevant, in our current normal with COVID-19. In order to survive through crises, proactively detect trends, and respond to new challenges, companies need to develop greater analytical agility. This agility comes from three areas: improving the quality and connections of the data itself, augmenting analytical "horsepower" at the organization level, and leveraging talent that is capable of bridging business needs with analytics to find opportunity in the data. Get monthly email updates on how artificial intelligence and big data are affecting the development and execution of strategy in organizations. The quest for better data is not new, but the cost of not having it is easier to substantiate and understand in a time of crisis.
Always worried about the potential for embarrassing background noises at home during video meetings? Microsoft is working on an update that could save you from future videoconferencing faux pas. The company's Microsoft 365 roadmap lists as in development "AI-based real-time noise suppression," which is scheduled for release in November 2020. The feature, spotted by news site Windows Latest, "will automatically remove unwelcome background noise during your meetings." Artificial intelligence technology is used to analyze a user's audio and "specially trained deep neural networks" will filter out noises and keep the person's voice, the software giant's planning document says.
Using AI to manage COVID-19 risks and applying predictive models for multiple kinds of retail. U.K. retailers are applying AI to track customer feedback and manage new risks caused by the COVID-19 pandemic. Nike is using predictive models to optimize warehouse inventory. A U.K. retail group is increasing its investment in AI and predictive analytics after a trial run reports great results.
Researchers and provider organisations have increasingly embraced artificial intelligence (AI) and machine learning (ML) tools to reduce and track the spread of COVID-19 and to improve their surveillance efforts. Big data analytics systems have helped health experts to stay ahead of the pandemic from predicting patient outcomes to anticipating future hotspots, resulting in more efficient care delivery. However, the level of pandemic preparation by healthcare organisations is only as good as the data available to them. Although the industry is well aware of the data issues, the COVID-19 pandemic has brought a host of unique challenges to the forefront of care delivery. Nature of the SARS-CoV-2 has led to significant gaps in COVID-19 data with inconsistencies in information, leaving officials uncertain of the effectiveness of public health interventions.
It has often been said that crisis reveals character, a truism for organizations as well as individuals. Crises compel organizations to rethink how they work, and often become the source of lasting change and growth. After the 2000–01 recession, for example, 15 percent of companies that had not previously been leaders in their industries emerged as stalwarts in their sectors and moved into the top quartile. Likewise, while most retailers did poorly after the Great Recession of 2007–09, a handful showed their mettle and delivered more than five times the average total returns to shareholders. Few would argue that the COVID-19 pandemic is more devastating than these events.
An interesting article in the MIT Tech Review, "The pandemic has changed how criminals hide their cash -- and AI tools are trying to sniff it out", describes how the coronavirus pandemic, with its lockdowns, travel disruption and restrictions on economically or cash-sensitive activities, is a headache for criminals trying to launder money. Each year, according to UN estimates, between $800 billion and $2 trillion of criminal proceeds are laundered and reintroduced into the economy, usually using small businesses that primarily handle cash, and moving it illegally across borders. But the restrictions imposed by the pandemic have forced criminals to seek new strategies to launder their ill-gotten gains that are proving difficult for the authorities to tackle. The solution could lie in using machine learning's ability for anomaly detection. Applied to a set of data, anomaly detection identifies outliers that may indicate fraud or data quality problems, without the need to have previously labelled the data.
Over the last few months, COVID-19 has taken over our lives and presented unprecedented threats to human life and the global economy. The mortgage industry has been severely affected as well. Life as we knew it is a distant reality and is expected to remain so for an extended period. COVID-19 has forced every industry to reassess its future. There is a compulsion to adapt swiftly and respond quickly to the new needs, opportunities, and challenges posed by our "new normal."
![Figure] Analytik's BioScaffolder Prime is an affordable, high-performance 3D bioprinter that delivers precision engineering in an advanced, customizable platform. The rapidly expanding field of 3D bioprinting for tissue engineering and regenerative medicine combines biocompatible/biodegradable polymers with living cells. This attractively priced yet complete bioprinter package enables researchers to create bioscaffolds for cell growth and to deposit layers of bioinks on implants or microfluidic objects. This multiheaded 3D bioprinter can be equipped with multiple dispensing tools, including unique core/shell tools for simultaneous dispensing of different materials. Decentralized units for printing, media control, and computing save precious space in your biosafety cabinet and ensure superb heat dissipation. Silent but smart XYZ-drives deliver micrometer precision. In addition, the system comes with a Peltier heater/cooler cartridge for temperature-controlled bioprinting and a built-in UV source UV-LED pen. Designed to fit and operate in a standard biosafety cabinet, BioScaffolder Prime allows you to undertake your 3D printing applications quickly, safely, and in a sterile environment. With the ability to process up to 10,000 samples per day on a single system, the scalable and modular explorer automated workstations for SARS-CoV-2 testing improve the efficiency of laboratories 24/7 while eliminating errors and reducing labor requirements, by automating and standardizing disparate workflow steps. Different versions are configured for either reverse transcription PCR or ELISA testing, with varying degrees of automation based on workload and staffing resources. The scalable and modular nature of these workstations ensure that as your needs change, your automation solutions change with you. After the coronavirus pandemic subsides, your explorer workstations can be used to automate other laboratory processes. Hamilton Company and Integrated Micro-Chromatography Systems (IMCS) introduce the affinityPure STAR assay ready workstation for the automation of high-throughput, small-scale affinity purification workflows, such as the Protein A purification of antibodies while screening biotherapeutics against SARS-CoV-2, the novel coronavirus that causes COVID-19. The affinityPure STAR is also ideal for other large-molecule research and manufacturing applications. Specialized affinity purification IMCStips used in the workflow contain resins such as Protein A, with custom formulations available upon request. The resins are loosely packaged in Hamilton's automation-ready Compressed O-Ring Expansion (CO-RE) pipette tips, which feature a tight seal to ensure precision and accuracy during liquid-handling steps. Patented dispersive mixing technology in the IMCStips facilitates maximum contact between each resin and protein of interest and efficient binding of the target analyte for high recovery during elution. A predefined hardware configuration processes up to 96 samples in 10 min –30 min compared to throughput-limiting and lengthy manual methods such as traditional spin columns. BioTek announces that Agilent's BenchCel Microplate Handler is now added to its portfolio of walkaway automated solutions. The modular BenchCel Microplate Handler is a high-speed robot with an open, flexible, and scalable format to bring efficiency to diverse applications such as ELISA, endpoint add-and-read assays, and cell fix–stain–image processes. By integrating BenchCel between a BioTek liquid-handling device and detection or imaging system, sample throughput is increased while manual intervention is decreased. BenchCel is powered by VWorks software and incorporates an easy-to-use interface for dynamic scheduling of workflows. Additionally, user-friendly software interfaces may be created for a streamlined experience. Compatible BioTek devices include the EL406 Washer/Dispenser, MultiFlo FX Multi-Mode Dispenser, Synergy Neo2 Hybrid Multi-Mode Reader, Epoch 2 Microplate Spectrophotometer, and Cytation 5 Cell Imaging Multi-Mode Reader. With its small footprint, BenchCel may be used on the benchtop or in a biosafety cabinet, and for added flexibility it is compatible with a variety of microplates, including deepwell plates. AMS Biotechnology (AMSBIO) announces a service designed to provide high-content cytometry data on cells and tissues, enabling the automated analysis of fluorescent biomarkers on living cells or long-term, stored biobanked cells and tissues. Leveraging the innovative ChipCytometry platform, AMSBIO can offer a complete workflow solution (products and services) for high-content cytometry on cells and tissues, from sample preparation and biobanking to biomarker analysis and data mining. The ChipCytometry platform operates by immobilizing cells in microfluidic chips, which are later stained with antibodies for multiplex biomarker detection. The platform allows quantitative analysis of a virtually unlimited number of protein biomarkers in a single sample. AMSBIO also provides custom assays facilitating analysis of almost any antibody/biomarker target. This technology not only delivers quantitative biomarker analysis but also facilitates both pre- and posttreatment immune-cell profiling—a key part of characterizing the complexities of cancer biology. AMSBIO offers stable sample storage and reinterrogation for up to 2 years. All customers using this service receive a detailed analysis report as well as the full .fcs raw data file. : pending:yes
Covid-19 has indelibly transformed the way society thinks and interacts. Extended lockdowns around the world have compelled most people to work from home. And while some may perceive this as temporary, the emerging sensibility is that social distancing and even semi-lockdowns will continue over the foreseeable future to safeguard public health. Transportation Agencies will have to adopt smarter strategies to support public health policies which will be needed worldwide for the next two to three years, and may become the new norm. Moving forward, it is necessary to take a holistic view of transportation systems, and better account for public health.