Cognitive Archives - AiThority

Sens.ai Launches the World’s First Personalized At-Home Brain Training System

Business Wire — Mon, 23 Oct 2023 19:20:48 +0000

5-in-1 neurofeedback system includes a headset and gamified app experience to improve cognitive performance and empower holistic wellness

Sens.ai, a pioneering company specializing in neurofeedback and personalized brain-training solutions announced its global release. The best-in-class brain training system, which includes a headset and gamified app experience, was developed to offer measurable progression, enhance cognitive performance, elevate inner wellbeing and provide deep insight. The unrivaled technology marries measurable and advanced neurofeedback training with heart coherence training, transcranial photobiomodulation (light stimulation), brain function performance testing, and meditation training, making it the most sophisticated and personalized system on the market. Sens.ai delivers these five core components in a closed-loop system that measures and adapts to the user’s biosignals in real-time, providing actionable feedback and results.

Sens.ai harnesses event related potentials (ERPs) to measure brain processing speed and function, providing users with a unique opportunity to reach their full cognitive potential and optimize their brain performance. ERPs are electrical signals generated by the brain in response to specific time-locked stimuli or events. They hold valuable insights into cognitive processes, attention, memory, and sensory perception. By integrating ERPs into its system, Sens.ai is able to offer a unique advantage over traditional cognitive training approaches with a level of precision and personalization that has never been possible before. This revolutionary technology can help users improve all areas over life – spanning academic advancement, to professional success, to personal relationships and self-realization.

“Historically, there’s been a massive barrier to entry for brain training technology,” said Paola Telfer, Sens.ai Founder and CEO. “People who want to benefit from neurofeedback and reap the full benefits haven’t been able to because most offerings are expensive and only accessible in labs and research settings. We know people are passionate about optimizing their health and unlocking their full potential, and our revolutionary technology makes this more achievable than ever before.”

Telfer founded Sens.ai to help all people tap into the transformative power of neurofeedback, enhancing the most important moments in life. While she’s a serial entrepreneur and proud female founder with an impressive list of degrees focused on electrical engineering and chip design, Paola was inspired to develop this innovation from a deeply personal, life-altering accident that left her searching for solutions to get her brain function back to optimal.

“Sens.ai’s core mission is to empower people with the technology and training to unlock higher levels of wellbeing, performance and consciousness,” said Dr. Mark Atkinson, a renowned medical doctor and Founder of Human Potential Academy. “They have developed an extraordinary home-use training system that incorporates advanced meditation training alongside real-time personalized neurofeedback, light stimulation and heart coherence training. Their enhanced neurofeedback system is going to provide millions of people with a way to train their brain and unlock their potential from home.

Sens.ai retails for $1,500 USD and ships worldwide. Each headset can support up to 5 members. Each member’s account is personalized using Sens.ai’s closed-loop system with its Boost, Train and Assess modes. Boosts use transcranial photobiomodulation technology so you can feel a change in your mental state that day. For example, you can use a Drive boost at the start of your day, a Chill boost to wind down or a Snooze boost before sleep. Sens.ai is a guided gamified App experience which will unlock and recommend Missions for you, complete with a schedule of Training programs. It has over a dozen Training Programs that can be experienced in as short as 15 minutes. Based on your experience and goals, new Programs and Missions unlock over time within an interstellar gamified UX. Users receive quantified results based on their biometric data after each Session and after each use of Assess, a 10 minute brain function test. Sens.ai is a guided multisensory experience that can help you hone your focus, improve your stress management, get better sleep and have direct experience of deep meditative states.

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3i Infotech Partners with Databricks to Drive Business Value with the Lakehouse Platform

AIT News Desk — Wed, 18 Oct 2023 16:06:48 +0000

The company to leverage AAA, Cloud, and Future Tech services built on Databricks’ Lakehouse Platform to provide domain-led value-add unique offerings across global markets

3i Infotech Limited , a global Information Technology company, committed to accelerating business transformation announced their partnership with Databricks, the Data and AI company. The partnership aims to drive business value by unifying data and artificial intelligence (AI) on a single platform. Through this announcement, 3i Infotech with its strong foothold in the BFSI industry across the globe furthers its goals towards becoming the one-stop business solution to provide desired outcomes for Databricks’ cognitive services.

Through 3i Infotech’s strengthened traction and delivery in technology like Application Automation Analytics (AAA), Cloud and Future Tech, this announcement anchors on the inherited value by providing strong capability to the Databricks platform. As a result of the partnership, enterprise organizations will be able to realize the full potential of their data-driven initiatives. Together, 3i Infotech and Databricks Lakehouse will offer a comprehensive solution that accelerates digital transformation, enhances data-driven decision-making, and drives innovation.

Databricks pioneered the data lakehouse, which unifies data, analytics and AI on a single platform so that customers can govern, manage and derive insights from enterprise data and build their own AI solutions faster.

Speaking on this important partnership, Rishi Agrawal, Chief Technology Officer, 3i Infotech, said, “We are very excited to provide a unified and unique solution in the market by leveraging in-house domain capability with data platforms provided by Databricks. Through this strategic partnership with a data lakehouse leader like Databricks, we will be able to deploy a very differentiated offering to our customers. Our primary focus will be initially to serve India and the Middle East markets where we have a huge footprint of BFSI customers, while also scaling our services across the country’s key sectors and businesses. Subsequently, we will take this offering to our other global markets in the US, Europe, among others.”

Anil Bhasin, Vice President and Country Manager for Databricks India said, “We believe the country’s transformation lies within the transformation of core sectors and businesses in India. We are thrilled to be partnering with 3i Infotech to help scale our data and AI capabilities to more businesses across the country while also accessing the global markets through this collaboration. We look forward to combining our expertise to help more Indian companies move from legacy to innovation and to ultimately improve their revenue growth.”

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The Human Brain is the Best Example of a Supercomputer

Sudipto Ghosh — Fri, 15 Sep 2023 06:54:40 +0000

The recent research in the field of computational neuroscience have shown a remarkable evolutionary relationship between cognitive features of a human brain and its computing prowess. The human brain is actually wired to perform like a supercomputer. A good number of brain activities are actually happening in a specific way that can be closely related to advanced mathematical models for visual information processing. According to the scientists, our brain functions on the principle of Bayesian Inference, a model that very much operates the world’s most advanced supercomputers.

According to a published study, scientists* have developed an empirical mathematical model for neural decoding, closely matching the functions of a human brain when inferring environmental attributes using image data. This model simulates neural communication carried out using Bayesian inference. This statistical technique combines sensory data acquired from previous interactions with the environment and use new observations to make an intelligent assessment of the present situation. For example, if you see a small black animal with a snout and four legs with a tail near a drain or street, you can guess, it could be a mice. This sensory inference helps us differentiate between animals, birds, reptiles, trees, and non-living things.

The study’s senior investigator Dr Reuben Rideaux, from the University of Sydney’s School of Psychology, said: “Despite the conceptual appeal and explanatory power of the Bayesian approach, how the brain calculates probabilities is largely mysterious.”

“Our new study sheds light on this mystery. We discovered that the basic structure and connections within our brain’s visual system are set up in a way that allows it to perform Bayesian inference on the sensory data it receives.

“What makes this finding significant is the confirmation that our brains have an inherent design that allows this advanced form of processing, enabling us to interpret our surroundings more effectively.”

The study’s findings not only confirm existing theories about the brain’s use of Bayesian-like inference but open doors to new research and innovation, where the brain’s natural ability for Bayesian inference can be harnessed for practical applications that benefit society.

“Our research, while primarily focused on visual perception, holds broader implications across the spectrum of neuroscience and psychology,” Dr Rideaux said.

“By understanding the fundamental mechanisms that the brain uses to process and interpret sensory data, we can pave the way for advancements in fields ranging from artificial intelligence, where mimicking such brain functions can revolutionize machine learning, to clinical neurology, potentially offering new strategies for therapeutic interventions in the future.”

The research team, led by Dr William Harrison, made the discovery by recording brain activity from volunteers while they passively viewed displays, engineered to elicit specific neural signals related to visual processing. They then devised mathematical models to compare a spectrum of competing hypotheses about how the human brain perceives vision.

Scientists:

William J. Harrison, Paul M. Bays & Reuben Rideaux

Source: The University of Sydney

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Linus Health Presents New Data on AI-Based Cognitive Assessments at AAIC 2023

AIT News Desk — Tue, 25 Jul 2023 19:52:14 +0000

Linus Health, a digital health company focused on early detection of Alzheimer’s and other dementias, announced that company leaders and collaborators are presenting results from eight new studies involving its digital cognitive assessment solutions at the 2023 Alzheimer’s Association International Conference. The results not only further validate Linus’ AI-enhanced technology’s ability to outperform paper-based cognitive tests in detecting mild cognitive impairment (MCI) and dementia and help identify underlying causes, but also demonstrate its transferability from research to clinical practice.

Building on its award-winning DCTclock™ test, Linus Health introduced its next-generation digital cognitive assessment, the Digital Clock and Recall (DCR™) in 2021. The DCR combines DCTclock with word recall tasks and is part of a growing set of assessments and questionnaires available on the company’s research platform. It is also a core component of Linus’ clinical platform launched at AAIC last year, which expands on assessments with actionable clinical guidance and lifestyle-based patient action plans to help primary care clinicians identify, triage, and manage cognitive issues early.

These newest studies showcase the technology’s ability to deliver rich insights into brain health beyond cognitive function alone, with additional data related to a key Alzheimer’s disease (AD) biomarker (PET amyloid) and new data pertaining to functional impairment. As researchers and clinicians alike look to maximize efficiency in assessing cognitive performance, tools that can provide multi-faceted insights in just a few minutes will be increasingly essential.

Featured studies being presented at AAIC include:

Comparative Performance of the Digital Clock and Recall Test, Montreal Cognitive Assessment, and Saint Louis University Mental Status Among Patients in Primary Care – conducted with researchers at Indiana University School of Medicine – as part of its role as a flagship site in the Davos Alzheimer’s Collaborative’s Healthcare System Preparedness Project – this study looked at the role digital cognitive assessments can play in enabling efficient screening in primary care. 114 people that the DCR found cognitively impaired or borderline impaired were also given two common screening tests, which yielded concordant results, thus supporting the DCR’s use as a feasible, faster option for detecting cognitive impairment.
Combined Digital Clock Drawing Test and Delayed Word Recall and Their Relationship with PET Amyloid Biomarker Status in Cognitively Unimpaired Older Adults – DCTclock was previously shown to be associated with amyloid, as published in Neurology; this new study, with 159 participants, found that combining DCTclock and a delayed recall task – as the DCR does – accurately classified PET amyloid-beta biomarker status among most cognitively unimpaired people, reinforcing the DCR’s use in supporting clinical decision-making for individuals with early stage AD and other dementias.
Prediction of Functional Dependence with Digital Clock Drawing, Word Recall, and Assessment of Lifestyle and Health Factors – distinguishing MCI from early dementia requires understanding the clinical impact of cognitive deficits on a patient’s activities of daily living (ADLs). This study of 825 participants showed that Linus’ Core Cognitive Evaluation (combining the DCR with a lifestyle questionnaire) results were strongly associated with levels of functional impairment that characterize and differentiate MCI and early dementia, expanding the utility of this assessment in primary care.

“Recent developments on the AD treatment front further illuminate the need to not only help clinicians and researchers identify the presence of cognitive dysfunction early, but also more efficiently understand the nature and impact of that dysfunction,” said Alvaro Pascual-Leone, MD, PhD, Chief Medical Officer at Linus Health. “These new studies underscore the role AI can play in maximizing the insights available from brief, accessible, easy-to-administer cognitive assessments.”

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University Of Miami Using Qynapse’s AI Technology To Research Effects Of Covid-19 On Neuroimaging Markers Of Cognitive Impairment

AIT News Desk — Wed, 07 Sep 2022 20:53:12 +0000

Qynapse Inc., a medical technology company with a commercialized Artificial Intelligence (AI) powered neuroimaging analysis platform for central nervous system (CNS) disorders, is pleased to announce a collaborative project with the University of Miami Miller School of Medicine to examine effects of COVID-19 on vascular contributions to cognitive impairment and dementia (VCID), funded by the National Institute of Health (NIH).

Covid-19 has infected over 540 million people and contributed to more than 6.32 million deaths globally. As a multisystemic disease, neurological symptoms have been observed to different extents including strokes, headaches, seizures, anosmia and dysgeusia. However, the association between COVID-19 and cognitive impairment remains poorly understood.

To investigate this topic, the University of Miami is recruiting 250 patients who will undergo deep phenotyping through the acquisition of clinical, neuropsychological, MRI, and biological data with a 24 month follow-up visit. Qynapse’s AI-solution QyScore®, an FDA-approved software providing automatic segmentation and quantification of regional brain and white matter hyperintensities volumes will be deployed in this study to generate rapid, precise and objective MRI brain imaging analysis.

“We hope to leverage Qynapse’s advanced AI tool to enhance the quality of the study’s brain imaging analysis and to facilitate the discovery of new insights about COVID-19’s potential impacts on vascular contributions to cognitive impairment and dementia.” said James E. Galvin, MD, MPH, director of the Comprehensive Center for Brain Health at the University of Miami Miller School of Medicine Department of Neurology and Principal Investigator of the study.

Bringing artificial intelligence to additional CNS research, Qynapse, Dr. Galvin, and the University of Miami have signed another agreement in 2021 for two studies in dementia and Parkinson’s Disease. The first is a Multicultural Community Dementia Screening study enrolling 500 individuals analysed with Qynapse’s MRI, amyloid, and tau PET neuroimaging platform and the second to investigate neuroantomical correlates of Parkinson’s Disease Dementia,which is funded through the Michael J Fox foundation.

“Prof. Galvin and his team are leading such important work across this trilogy of devastating diseases and we are very excited to bring our AI and advanced neuroimaging solutions to provide quantifiable insights into these conditions that impact so many lives”, said Elizabeth Gordon, Ph.D., Scientific Director at Qynapse.

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XRHealth Adds NeuroReality Cognitive Training to Virtual Clinics

AIT News Desk — Wed, 07 Sep 2022 20:28:57 +0000

Virtual Reality Neurorehab for Stroke and Brain Injuries Guides Patients Through the Process of Regaining Independence in Everyday Activities

XRHealth, the gateway to the healthcare metaverse, announces that the company adds NeuroReality’s cognitive training to their virtual clinics. The NeuroReality’s virtual reality neurorehab, a serious game, is an immersive experience known as Koji’s Quest. It was designed for individuals who suffer from the consequences of stroke and brain injuries, where patients are guided through activities aimed to help regain functionality in their everyday lives.

“We are constantly adding state-of-the-art virtual reality therapeutic programs for our users so they can have a one-stop-shop for all their rehabilitation needs,” says Eran Orr, Founder & CEO of XRHealth. “We find that patients enjoy the game-like therapy experiences and are more likely to stick with the prescribed programs since they are engaging from the comfort of their home.”

NeuroReality is based on the concept of neuroplasticity and other neuroscientific principles as well as gamification, AI, and paradigms from conventional rehabilitation to rewire the brain, creating new pathways so patients can relearn how to engage in activities they did prior to injury. The rehabilitation exercises specifically focus on improving attention (divided and selective), executive functioning, visual spatial skills, reaction time, accuracy, memory, and numerical manipulation. Cognitive skills are imperative in the context of everyday activities like counting money, going to a store, making a recipe, etc. The cognitive training technology is used for patients that had an acquired a brain injury or cognitive deficits, like a stroke, post-concussion syndrome, for someone who had a lack of oxygen to the brain, brain fog from long COVID, or for post-ICU patients.

NeuroReality has six training modules that are accompanied by a virtual assistant that guides patients through the entire process and is especially helpful for users that don’t have a healthcare provider working alongside them. Each program has a dynamic difficulty progression that is automatically adjusted to make tasks easier or harder, based on the users’ progression. Additionally, NeuroReality includes a system so that patients can visualize their personal progress by watching the “Tree of Life” grow, or watching a seed bloom in “the Garden of Zen.” It also includes meditation practices so that patients working hard on their cognitive rehabilitation can relax from the intensity of the exercises.

“I started NeuroReality after a family member suffered from a stroke and I discovered gaps in continued care for brain injury patients. NeuroReality provides continuous neuro rehabilitation to close that gap so that patients can recover quicker and appreciate each step in the rehabilitation process,” says Faviola Brugger-Dadis, Founder of NeuroReality. “The mission of the company is to improve the lives and outcomes of patients that suffer from a brain injury, where doctors can monitor patients remotely and track progress.”

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With XRHealth, all patient data can be monitored by a clinician in real-time so that training can be tailored for the individuals’ needs and healthcare outcomes can be measured at each session. Sandy Rathod, CEO of NeuroReality, says “tracking these type of metrics can provide insights that guide clinicians in their treatment process. With XRHealth we will be able to bring NeuroReality further into the healthcare metaverse.”

“We just finished a joint effort to integrate Koji’s Quest into our platform and adapt it to our patient’s needs,” says Miki Levy, Co-Founder & CTO of XRHealth. “We now have a simple process through our XRHeath Developer API to bring more third-party applications into our platform and create a better toolkit for our clinicians. This is a win-win since our platform has years of experience in delivering care in XR built into it, including HIPAA compliance, and operational challenges we solved. Third-party apps can bring new value to patients using this platform.”

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AiThority Interview with Jordan Suchow, Assistant Professor at Stevens Institute of Technology

Sudipto Ghosh — Thu, 26 May 2022 15:19:50 +0000

Hi, please tell us about your current role and research you are doing in the AI space?

I’m Jordan Suchow, an assistant professor in the School of Business at Stevens Institute of Technology. My research sits at the intersection of human cognition and machine learning. I study topics including perception, learning, and memory.

Tell us a little bit about the role of Advanced AI algorithms that you are studying for commercial adoption across industries?

I teach a course on Management of AI Technologies that surveys adoption of A.I. technologies in areas such as fraud detection, machine translation, face recognition, autonomous navigation, and scheduling meetings. We’re seeing two kinds of integration of A.I. into business. First, there are businesses that sell A.I.-backed products, such as customer-support chatbot platforms. Then there are companies that are improving their internal business practices using A.I. technologies, such as logistics, business process automation, and inventory management.

What are Deep FAKES, and how does AI influence the growth of deep fakes? How can deep fakes be identified using AI?

Deep fakes are images and videos produced by deep neural networks where a person’s image is inserted into an image or video where they did not originally appear. Creating methods to detect deep fakes is an active area of research because of the negative societal impact of automating the creation of deceptive, embarrassing, and harmful imagery. The trick is to identify some kind of digital signature that the deep-fake creation leaves behind, either some specific patterns of pixels or some mismatch that gives away the deception.

Your take on the current capabilities developed in the fields of CNN, ANN and Cognitive intelligence – are we very close to the unsupervised machine learning algorithms?

Unsupervised machine learning algorithms are old news and can be found everywhere; you interact with one every time you swipe your credit card: it’s a key method that underlies fraud prevention systems. Of course, just because it’s old news doesn’t also mean that it’s the future.

Thank you, Jordan! That was fun and we hope to see you back on AiThority.com soon.

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About Jordan
About Stevens Institute of Technology

About Jordan

I am a cognitive scientist — I study the mind. In my research, I develop computational models of individual and group perception, learning, memory and decision making, with an eye toward applying these models to the creation of new technologies. I also develop tools to support behavioral and social science research. For example, in a recent project, I designed a crowdsourcing system that can be used to easily combine human and machine decision processes, enabling new kinds of experiments and new kinds of collaborative work.

About Stevens Institute of Technology

Stevens Institute of Technology is a premier, private research university situated in Hoboken, New Jersey. Since our founding in 1870, technological innovation has been the hallmark of Stevens’ education and research. Within the university’s three schools and one college, 8,000 undergraduate and graduate students collaborate closely with faculty in an interdisciplinary, student-centric, entrepreneurial environment. Academic and research programs spanning business, computing, engineering, the arts and other disciplines actively advance the frontiers of science and leverage technology to confront our most pressing global challenges. The university continues to be consistently ranked among the nation’s leaders in career services, post-graduation salaries of alumni, and return on tuition investment.

Stevens is home to three national research centers of excellence, as well as joint research programs focused on critical industries such as healthcare, energy, finance, defense, STEM education and coastal sustainability.

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Digital Therapeutics (DTx) Company Alex Therapeutics Raises $3.82 Million Funding

AIT Staff Writer — Wed, 06 Apr 2022 10:51:34 +0000

Stockholm-based Digital Therapeutics (DTx) company Alex Therapeutics announces it has secured a €3.5M funding round, led by European life science venture fund Hadean Ventures and joined by Scale Capital and Bonit Capital.

Alex Therapeutics aspires to become the global go-to partner for pharma, and other life-science companies seeking to develop and launch DTx solutions. These digital health products are validated in clinical trials and prescribed by a doctor, similar to traditional therapeutics. This funding round will be used to accelerate Alex’s growth in Europe and the US and to develop novel DTx products alongside both new and existing partners, including Pfizer.

The round was led by Hadean Ventures, a European specialist life science venture fund, with participation from Scale Capital and Bonit Capital, the Leksell (founder of medical device company Elekta) family office. The new investors provide cross-disciplinary expertise in successfully developing medical devices and scaling global B2B tech platforms. Existing investors, the King (Candy Crush) founders through their fund Sweet Studio, also participated in the round.

Alex Therapeutics uses its AI-powered digital therapeutics platform “Alex DTx Platform” to develop and launch prescription digital therapies, typically in partnership with pharmaceutical companies. The DTx products are clinically validated and approved medical devices, prescribed by doctors and reimbursed by healthcare systems. The platform combines evidence-based psychology, primarily Cognitive Behavioral Therapy (CBT), with AI and Machine Learning to provide personalized treatments that address the needs of patients worldwide.

We’re overwhelmed by the interest from the investor community and are glad to welcome some incredible institutional investors to join us as we take the next major leap with Alex. We’re looking forward to learning from their many years of experience in developing medical devices and scaling Nordic tech platforms internationally. They perfectly complement our current investors, who have a unique perspective on building engaging consumer technology.

John Drakenberg Renander, co-founder and CEO at Alex Therapeutics

We’ve been following the digital therapeutics space for a long time and are now seeing major markets such as Germany and the US open up for prescription and reimbursement of digital therapies. Alex Therapeutics’ impressive track record, dedication to developing treatments with and for patients, combined with their utilization of advanced technology make them an attractive partner for companies seeking to launch digital therapeutics.

Dr. Ingrid Teigland Akay, MD, MBA, Managing Partner at Hadean Ventures

Alex Therapeutics’ journey has been incredible, and we’re proud to have supported them from day one. Looking back, it’s astonishing what John, Oliver and their team have accomplished in such a short period of time. With partners such as Pfizer, and now institutional investors with a strong track record in life science and international expansion, there’s no limit to what they can do.

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New Study Announced to Analyze AI’s effectiveness in Treatment of Cognitive Impairment

Sudipto Ghosh — Wed, 06 Apr 2022 10:32:47 +0000

Research collaboration will test novel algorithm’s effectiveness on Geisinger data

Geisinger and Eisai Inc. announced a collaborative effort to study the potential effectiveness of an artificial intelligence (AI) tool in the detection of cognitive impairment that could identify dementias, including Alzheimer’s disease (AD). If effective, the AI tool could potentially be developed to support the early detection and staging of cognitive impairment and dementia, leading to appropriate additional testing for the clinical, biological diagnosis and treatment of dementias such as AD.

The research collaboration will study the use of an algorithm trained on a set of de-identified patient data to identify individuals likely to have cognitive impairment. The algorithm, known as a Passive Digital Marker (PDM), was developed and tested by researchers at Purdue University and Indiana University. The Geisinger-Eisai team will evaluate the PDM in Geisinger’s de-identified dataset to determine its potential to detect cognitive impairment, which may suggest early signs of dementia.

The number of people with dementia is growing substantially; more than 55 million people worldwide are living with dementia, and this number is expected to increase to 78 million by 2030.¹ Accurate diagnosis remains a barrier to early and effective treatment; research reviews estimate that between 40 and 60 percent of adults with probable dementia are undiagnosed.² Early detection, diagnosis and treatment of dementia protects individuals against risks from delayed or missed diagnosis and allows individuals, their families and their caregivers to plan for the future as the condition progresses.²

“As we continue to develop new treatments to prevent and slow the progression of Alzheimer’s and related dementias, early detection is becoming even more important,” said Glen Finney, M.D., director of Geisinger’s Memory and Cognition Program and a board member of the Greater PA Chapter of the Alzheimer’s Association. “Early and accurate diagnosis and treatment of these conditions can drastically improve outcomes and quality of life for both patients and caregivers.”

“As two recognized leaders with unique expertise in Alzheimer’s disease and related dementias, Eisai and Geisinger are joining forces to utilize artificial intelligence to identify people at risk for developing dementia and potentially create tools that could be used in clinical care settings,” said Alexander Scott, executive vice president, Integrity, at Eisai. “Leveraging the latest technology is just one way Eisai is working to fulfill our human health care mission and make a difference for patients and their families.”

“AI technology has the potential to transform medicine,” said Yasser El-Manzalawy, Ph.D., principal investigator and assistant professor of Translational Data Science and Informatics at Geisinger. “AI-based tools can efficiently scan massive amounts of healthcare data and identify hidden patterns. These patterns can be used to detect diseases, like cancer and dementia, at an early stage. Our data science research team is uniquely positioned to leverage this innovative technology to develop and validate tools to identify patients with unrecognized dementia or patients at high risk of developing dementia in the future.”

“As an implementation scientist, it is always exciting to have other scientists evaluate the reproducibility of the performance of our passive digital marker in very different populations,” said Malaz Boustani, M.D., Richard M. Fairbanks Professor of Aging Research at Indiana University. “Reproducibility is the cornerstone of scientific progress.”

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AiThority Interview with Matt Schwartz, Global SAP Practice Leader at IBM

Sudipto Ghosh — Mon, 07 Feb 2022 08:00:43 +0000

Please tell us about your role and the team / technology you handle at IBM.

I lead IBM’s global SAP practice and am responsible for providing our clients with the market’s most holistic, transformational offerings for their SAP needs. My team and I work with clients to design, transform, implement and run set of experiences that touch everything from the user to infrastructure. Our SAP practice offerings enable delivery of hybrid cloud, AI and good tech to IBM’s clients.

Tell us about your recent offerings with SAP.

We’ve collaborated with SAP on new solutions to help our clients in every industry around the world become intelligent enterprises and emerge stronger post-pandemic. This is building on the industry offerings that we introduced early in the pandemic. These solutions help our clients navigate uncertainty by reinventing their core business processes into intelligent workflows with the help of technologies like AI and automation. They drive faster business transformation time to value and leverage data to make more informed decisions. The new solutions include:

– Intelligent Industry Cloud Solutions for Industrial Manufacturing leverages AI and analytics to help industrial manufacturers reinvent workflow processes, increase win rates and enhance productivity and customer satisfaction while they navigate changing global market requirements and expectations. Intelligent workflows are provided in the lead to order, plan to manufacture, order to cash and maintain to resolve process areas.

– Cognitive Care for SAP Utilities, which is integrated with SAP Customer Experience and SAP S/4HANA to help utilities address new customer demands. By embedding machine learning, conversational AI and automation, this enhances chat capabilities on the customer’s channel of choice and enables customer service agents to answer questions faster and provide valuable services. A set of industry specific algorithms provide next best action recommendations for call center representatives to recommend offers, identify collection risks and find candidates for energy conservation programs.

– Continuous Intelligent Planning helps companies better deal with supply chain disruptions – even in unforeseen events like COVID-19 – by augmenting SAP’s planning capabilities in Integrated Business Planning for better forecasting and demand sensing to help better predict short-term demand for their goods or services.

– IBM Accelerated Move Center, a next generation best practices migration factory designed to give clients more predictability on their path to SAP S/4HANA. This offering addresses the brownfield migration requirement we see by many mid-market companies and divisions of larger companies. It can help reduce prep and project timelines, maintenance team effort and system down time. We’ve already seen strong momentum with clients in markets like Europe and India.

And we’ll continue to co-create with SAP and enhance our solutions as businesses continue to operate in this new normal, complementing our collaboration on cloud and RISE with SAP. Over the next year, we’re looking to release three to five cross-industry and industry offerings each quarter — the next being in the retail and defense sectors that provide our clients with greater flexibility for hybrid cloud solutions.

What kind of challenges are industrial manufacturing companies facing in the pandemic? How does your connected offerings enable companies to overcome these challenges?

Over the last decade, new business models, like products to services transformation and outcome-based contracts have emerged for industrial manufacturing companies. These business models rely on data from existing applications yet must implement smart processes that span from end-to-end across their business functions. The adoption of these models has been accelerated over the last year during the pandemic because of the changing global market requirements and expectations. To help address this, we collaborated with leading industrial manufacturing companies to create and build out capabilities for intelligent workflow offerings on SAP’s intelligent suite with industry cloud solutions focused on lead-to-order, plan-to-manufacture, order-to-cash and maintain-to-resolve business processes. This has been designed to help these industrial manufacturers reinvent their workflows, increase win rates, as well as enhance productivity and customer satisfaction. Integrating AI and analytics in areas like quotation, pricing, visual inspection and the connected plant are growing business needs for industrial manufacturing companies. The intelligent workflow design integration leveraging SAP Workflow Management allows for API based orchestration, business process management and optimization.

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Tell us how AI and Automation have helped businesses scale their operations during the pandemic?

To cope over the last year, businesses have had to transform the way they operate – from their supply chain to how they communicate, working overtime to meet the dynamic needs of customers while ensuring employees are productive and safe. Demand for AI and automation – what we call intelligent automation – has increased as businesses seek ways to quickly improve efficiencies and gain more data-driven insights of back-office and customer-facing operations. In fact, more than half of executives plan to increase AI investments in the next three years, while 44 percent will increase robotics investments. This allows businesses to act rather than react in an unsettled environment and to scale sustainably.

We already know the damage that security breaches can have on business reputation. What kind of data management framework do you offer to customers to secure IT resources? What has been your collaboration with SAP with regard to security?

Our approach to data protection is based on multi-layer coverage, following the natural sequence of access to the data. This includes:

– Access Management: Through the definition of the SAP Roles & Authorizations following the least-privilege access, ensuring segregation of duties in user/role management, and in role provisioning to users, or even implementing a dynamic authorization model.

– Data Access Register: By the implementation of solutions that allow the creation of rules that record the access to the SAP tables and fields that have been defined as critical because of the information contained.

– Data Masking: Depending on protection requirements implementation of data masking at UI level or even a database level.

– Data Encryption: At different levels; at-rest, but also in-transit, for those data that have been tagged as very sensitive.

– Automated SAP Logs analysis: For a detective analysis of the most relevant application logs (Security Audit Log, Business Transaction Log, User Change Log and Change Document Log) to identify actions performed to gain access to sensitive data.

In addition, we have initiatives that can be implemented for a full control of secure access to data:

– Data Scrambling: For ensuring that sensitive data are not copied in-clear in non-productive environments (where permissions are typically broader) because of the periodic refresh of its content.

– Data Loss Prevention: By implementing solutions that allow the creation of rules that record the massive access/download of data and attachments that are considered sensitive.

– Dynamic Security: By implementing solutions that allow data tagging to apply different security protection levels depending on the transit of data across the SAP landscape.

All our security protection initiatives are defined in the context of relevant security frameworks, including Zero Trust and NIST, Secure Operations Map (in the context of the SAP domain) and the IBM framework.

As part of our SAP partnership, we implement all security products in the SAP portfolio, the SAP Solution Extensions, as well as other certified and endorsed SAP applications like Pathlock, NextLabs, and Onapsis.

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Tell us more about Cognitive Care and how it improved CX offering for the customers?

The pandemic has had a direct impact on customer service, as industries have had to take a step back and reevaluate how digital technology and applications can be used to meet new customer demands. For the utilities industries, COVID-19 has driven high customer call volumes to contact centers. Many utilities are also struggling with call center work-from-home options and have limited capabilities to serve customers through digital channels. We’ve identified the opportunity for utilities to adopt a more efficient approach to their customer service and ultimately, reinvent how business gets done.

The Cognitive Care for SAP Utilities solution, integrated with SAP Customer Experience and SAP S/4HANA, helps utilities meet the demand and requirements for inbound and outbound customer communication. It can transform the customer service experience into an intelligent workflow with embedded machine learning, conversational AI and automation. This enhances chat capabilities on the customer’s channel of choice, and We’ve embedded Watson Assistant and Watson Discovery into SAP Service Cloud – configuring it to answer questions asked by utility customers to the customer service representatives, and search for documents that can provide answers or instructions while the conversation is happening. This enables customer service agents to answer questions faster, and provide valuable services. The solution also leverages SAP Qualtrics for “lifestyle data” through surveys, which is integrated into machine learning models to identify the customers’ level of green advocacy.

Please tell us your predictions for the future of Cloud-based operations?

The pandemic has forever altered how organizations around the world operate. In a recent IBM Institute of Business Value (IBV) study, we found that 64 percent of C-suite executives surveyed plan to shift to a more cloud-based business model over the next two years to support their expanded distributed computing environments. Businesses need to take action to improve their operational scalability and flexibility, including the prioritized use of the hybrid cloud and moving more business functions to the cloud. We believe our strong IBM cloud offerings, our partnerships with the hyperscalers and our preferred SI status with the SAP RISE offering will allow us to best support our customers on their cloud journeys.

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Thank you, Matt! That was fun and we hope to see you back on AiThority.com soon.

[To share your insights with us, please write to sghosh@martechseries.com ]

About Matt
About IBM

About Matt

Matt Schwartz is a Global SAP Practice Leader at IBM

About IBM

IBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 350,000 employees serving clients in 170 countries. With Watson, the AI platform for business, powered by data, we are building industry-based solutions to real-world problems. For more than seven decades, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across six continents.

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