La Inteligencia analítica de IoT puede mejorar todos los aspectos de las operaciones de negocios, y aún así, muchas empresas aún no han podido adoptarla.

Las dificultades de implementación existen y van desde un gran volumen de datos, resultados inciertos, altos costos iniciales de desarrollo de software personalizado, hasta métodos complejos de análisis y profesionales caros.

Al ver los enormes beneficios del analytics en TI, embarcamos en un viaje para crear enfoques y herramientas más simples para profesionales que monitorean procesos y equipos para gestionar los resultados. Creamos una plataforma de descubrimiento de motifs / desvíos para ayudar a encontrar patrones y desvíos en el tiempo e identificarlos predictivamente en tiempo real, de forma intuitiva. Nuestro producto está destinado a capacitar a muchos profesionales que no tienen graduación en ciencia de datos o tiempo para el modelado demográfico de datos estadísticos. Ayudamos a los usuarios a encontrar motifs que desvelen el valor de los patrones de tiempo y, así, los impulsan a tener éxito en su sector.

En menos de dos años, construimos una plataforma que se adapta a millones de dispositivos alimentados por sensores IoT. Durante este desarrollo, probamos la premisa de nuestra plataforma en Healthcare (Sistema Nacional de Salud de la Unión Europea y Reino Unido – NHS), monitoreo ambiental (Universidad de Liverpool y Consejo de Instalaciones de Ciencia y Tecnología – STFC) y mantenimiento basado en condiciones motores a turbina (Lockheed Martin para la Marina de los Estados Unidos). Hemos sido seleccionados por la UE, el STFC y la University of Liverpool para participar en programas financiados, a fin de probar la plataforma y los conceptos con datos del mundo real y usos de casos comprobados.

Cómo Monetizamos Micro Tendencias

Sensores Inteligentes

Las empresas incorporan sensores y software en todas las máquinas, dispositivos y procesos, almacenando datos de los equipos, las condiciones ambientales y los comportamientos humanos y hasta de animales.

Recolección de Datos Granulares

Las empresas tienen la capacidad de recopilar datos en un nivel granular (normalmente en milisegundos, segundos o minutos) para cada operación, acción o cambio de status.

Micro Tendencias Reveladas

Los algoritmos poderosos y con alto poder de escalabilidad de Trendalyze separan rápidamente patrones y anomalias/desvios a través de enormes cantidades de datos y apuntan a las micro tendencias.

Previsiones y Monitoreo

La previsión de tendencias y monitoreo en tiempo real permite que los gestores sean ágiles y ejecuten acciones para ahorrar costos, evitar prejuicioss o capitalizar otros cambios de tendencia.

El Equipo Que Hizo Trendalyze Posible

El Equipo

Dr. Rado Kotorov

Co-Founder and Chairman of the Board

Dr. Rado Kotorov is a co-founder of Trendalyze who holds a PhD in decision and game theory from Bowling Green State University. He has numerous publications on business and technology and has co-authored a book on Organizational Intelligence with Gerry Cohen, founder and CEO of Information Builders Inc. Rado is passionate about discovering new approaches, methods, and technologies for more granular analytics as a means to drive more scientific discoveries and better business outcomes.Rado has held various executive positions in finance, marketing, product and innovation management at DeBacker Management Inc., ClubMom Inc., and Information Builders Inc. Under his leadership, his teams have delivered an innovative POS and financial platform, a highly scalable campaign and micro segmentation platform, a new reporting format for emailing self-contained interactive reports and dashboards, the first relational database search for business intelligence, the first web-based AJAX ad hoc reporting tool, the first integration of R into a BI platform, and other.He holds a number of US patents and speaks frequently at industry events on how data and analytics can drive innovation, new business models, new revenue streams, and higher organizational performance.

Dave Watson

Co-Founder and Chief Executive Officer

Dave Watson is a Co-Founder of Trendalyze, who holds a number of UK and US patents and has led engineering in database middleware, OLAP and time series databases.Dave held executive and development management positions with Informix Software (IBM), ASK Group/Ingres (CA/Actian) and iWay Software. Under his leadership, his team delivered OEM software for IBM, Microsoft, SAP, Oracle, BEA and PeopleSoft. Furthermore, he has delivered large scale time series databases and bond portfolio analytics projects for investment banks in London and Wall Street. Lastly, he has delivered solutions in healthcare globally for NHS, APHP and VA.He speaks at number industry events including IoT Things Expo, NoSQL Now, MongoDB Europe, Gartner, IDC, TDWI, VLDB, DB/EXPO, Google, Bearingpoint, Fujitsu and IBM/Informix user groups. Dave holds first class honors degree in Computer Systems Engineering from University of Bristol.

Ilian Petrov

Global Business Development Director

Mr Ilian Petrov brings more than two decades of global business development, investment, trading and advisory experience across traditional and alternative financial assets. He has built new distribution markets for innovative financial products; managed and advised on multi-million dollar investments across developed and emerging markets; structured and sold customized solutions for institutional and affluent clients while employed at Barclays Capital, Merrill Lynch Bank of America and a number of boutique Wall Street firms. Over the past few years, his interest has shifted toward information technology and its transformative impact on financial services. In his spare time, Ilian is an avid cyclist and motor biker, an outdoors enthusiast and a global travel adventurer. He is keenly interested in foreign affairs, human rights and sustainability.Mr Petrov holds a BA in Economics and an MBA in Finance from Columbia University.

Miguel Heinonen, MBA

Global Marketing Director

Miguel oversees all the marketing and outreach activities at Trendalyze. Prior to joining the team, he has been an advisor for a multitude of B2B SaaS solutions ranging from healthcare to software discovery platforms.Miguel graduated from Johnson & Wales University with a Bachelor of Science degree in Entrepreneurship and received his MBA in Global Business Administration.

Lorant Szabo

Global Lead Financial Solutions

Lorant Szabo is an influential payments industry leader with 18 years of experience in the areas of data analytics, finance, strategy and extensive knowledge of the North American and European payments ecosystem and related technologies.Lorant designed and under his leadership his teams implemented innovative solutions for different business problems leveraging the big data captured in card payments. He delivered various presentations on related topics at the International Conference on Enterprise Information Systems, Artificial Intelligence & Decision Support Systems section and conferences organized by the Institute for Operations Research and the Management Sciences, Pricing and Revenue Management section.

Dr. Susan Schneider

Scientific Advisor

Susan’s primary research focus is on the nature of the mind, AI, ethics, and cognitive science. Her most recent publications are on superintelligent AI, the nature of thought, the mathematical nature of physics, and whether the mind is a program. Her work has been mentioned in The New York Times, Wired, Science, Big Think, Nautilus, Smithsonian, Discover, and many more.Susan is a faculty member at the Department of Philosophy Cognitive Science Program (University of Connecticut), and is also affiliated with the Institute for Advanced Study (Princeton), YHouse think tank (New York), Ethics and Technology Group at the Yale Interdisciplinary Center for Bioethics (Yale), Center of Theological Inquiry (Princeton), and other.

Dr. Danail Stoyanov

Scientific Advisor

Aside from his role at Trendalyze, Dan is a senior lecturer within the Department of Computer Science at University College London (UCL). He also leads Surgical Robot Vision Group. His research interests and expertise include surgical vision and computational imaging, surgical robotics, image guided therapies, and surgical process analysis.He is a committee leader for computer assisted surgery and healthcare at MICCAI and IPCAI. Furthermore, he is a deputy editor for the International Journal in Computer Assisted Radiology and Surgery and an assistant editor for the IEEE Robotics and Automation Letters. He holds a first class honors in Electronics and Computer Systems Engineering at King’s College London. He earned his PhD in Computer Science at Imperial College London, specializing in medical image computing.

Evangelos Mazomenos

Scientific Advisor

Evangelos B. Mazomenos is a Senior Research Associate at the Wellcome/EPSRC Centre for Surgical and Interventional Sciences, University College London where he works on pioneering autonomous intelligent systems for optimizing surgical interventions, diagnosis and delivery of healthcare. His research interests broadly include surgical skills and workflow analysis, computer vision in computer-aided interventions, biomedical informatics and surgical robotics. He holds a Ph.D. in Electronic and Electrical Engineering from the University of Southampton, UK and an MEng in Electrical and Computer Engineering from University of Patras, Greece.

Investidores

Thomas Wisniewski

Managing Partner at Newark Venture Partners (NVP)

Tom Wisniewski is a Managing Partner of Newark Venture Partners (NVP), a $45M venture capital fund based in Newark NJ focused on Seed/Series-A investments in B2B software start-ups. NVP leverages the resources of its fund investors--Audible, Amazon, Prudential, D&B, among others-- to help scale its portfolio investments. NVP invests both directly into Seed/Series A rounds, and via the NVP Labs Program, all based in its state-of-the-art co-working space co-located with Audible in downtown Newark. www.newark.vcTom’s professional career began as a software engineer at Morgan Stanley, followed by several years in investment banking (1987 to 1991). After business school, Tom joined a start-up management consulting firm, the Mitchell Madison Group, that was a spin off from McKinsey. At MMG, he focused on the intersection of Strategy/Operations/IT for financial services, tech, private equity/VC clients (1993 to 2000). The firm grew from start-up to over 1000 professionals and 15 offices and was sold to USWeb/CKS in early 2000. Following MMG, Tom joined Walker Digital, an internet incubator run by Jay Walker, founder of Priceline. During much of the next decade, he advised VC and PE firms on portfolio company turn-arounds, and evaluating new investments. On two occasions, Tom joined the management team of the companies he was serving, to lead turn-arounds and major company expansions.In addition to NVP, Tom is a Partner of RosePaul Investments, his family office, which has a portfolio of 30 seed stage tech investments as well as 12 VC fund investments. He is a board director of New York Angels, a seed investment group and a frequent speaker at tech-start-up events. He holds a BA in Physics and Philosophy from Clark University, and an MBA from the Tuck School at Dartmouth.

Lynn Duffy

Investor & Active Advisor

Lynn has spent over 25 years in the IT industry executing strategy and performance across ERP, Business Intelligence and Product Development domains with a focus on sales, business development and consulting. Her previous organizations include PeopleSoft/Oracle, BellSouth/ATT, GEAC/Infor and several large Healthcare organizations. Startup and Execution of various strategic initiatives, outsourcing and general IT project and people management make up Lynn’s portfolio of expertise. She is most known as a trusted advisor to clients in an advisory capacity around current IT trends.Lynn is a proud alumni of LSU, and enjoys football, baseball, camping, hiking and swimming.

Ivaylo Guenov

Investor & Active Advisor

Ivaylo is an experienced technology leader with a strong background in strategy, business development and implementation leadership. He has served as an IT executive advisor to Fortune 500 companies and developed consulting practices for companies such as Deloitte. Ivaylo was a founding partner in a number of successful technology start-ups including Telispark, Concord, and LogicalFactor headquartered in the U.S.

Invista en Trendalyze

Exploración Visual de Micro Tendencias: Ingenieros monitoreando el desempeño de equipos, médicos examinando señales biológicos eléctricos de pacientes (EEG, ECG, etc.); analistas de negocios que estudia los comportamientos del consumidor; los expertos financieros en busca de tendencias de mercado; Todos estos profesionales saben inmediatamente si una tendencia es importante y requiere acción o investigación adicional.

El desafío que todos ellos tienen es cómo identificar rápidamente las micro tendencias interesantes en la vasta cantidad de datos. Trendalyze ofrece visualizaciones interactivas altamente especializadas y funciones de búsqueda para identificar las tendencias en los datos de series temporales con sólo unos clics.

Micro Trends Search: Google ha inventado la búsqueda por palabras para ayudar a las personas a navegar y encontrar información relevante en billones de páginas web. Trendalyze fue pionera en la investigación de micro tendencias para permitir a los profesionales comprender y controlar los trillones de dispositivos y sensores inteligentes que recopilan datos de series temporales muy granulares sobre procesos, máquinas, comportamientos y condiciones humanas, transacciones bancarias y de comercio minorista, condiciones ambientales, ciudades inteligentes y muchos más. La investigación de micro tendencias permite identificar casos y aprender rápidamente qué patrones llevan a resultados que queremos controlar.

Monitoreo y alertas: Las micro tendencias revelan patrones en los datos que llevan a resultados específicos que los profesionales desean administrar para disminuir costos, evitar eventos indeseables o beneficiarse de cambios en las tendencias. Nuestros usuarios pueden seleccionar micro tendencias de interés y configurar dashboards de monitoreo y alertas en tiempo real para realizar acciones proactivas. Muchas situaciones de la vida real son complejas y requieren monitoreo de varios sensores. En estos casos, los profesionales pueden configurar y monitorear tendencias correlacionadas y recibir alertas cuando todas las micro tendencias de seguimiento ocurren.

Puntos fuertes de la plataforma: Análisis granular e investigación proporcionan a los profesionales un poder increíble para buscar y gestionar los resultados. Un médico puede identificar un patrón de datos exclusivo en un paciente individual. Un ingeniero puede descubrir un patrón particular de fallo de máquina en una refinería de petróleo. La investigación potencializa el “ojo” del profesional para discernir y observar casos similares entre miles de pacientes y millones de sensores. Trendalyze ofrece escala y una manera fácil de ir del análisis a una aplicación de monitoreo y para monetizar sus datos de series temporales.

"La mente, básicamente, es una máquina de búsqueda de patrones ... Tendemos a buscar patrones ... y entonces contamos historias sobre ellos"

Stephen Jay Gould

No creemos que exista algo como un paciente medio, una falla media de la máquina o una media de cualquier cosa. Cuando el biólogo evolucionista Stephen Jay Gould fue diagnosticado con cáncer con una expectativa de vida promedio de 8 meses, se negó a sucumbir a las estadísticas. Él ha vivido por más 20 años y escribió 17 libros. Al reflexionar sobre su experiencia, él dijo: “La variación es la dura realidad, no un conjunto de medidas imperfectas para una tendencia central. Medios y medianas son las abstracciones.

Cuanto más datos granulares recogemos, como datos de sensores capturados cada 10 milisegundos, más vemos que los promedios ofuscan una realidad mucho más rica. Cuando adaptamos nuevos enfoques analíticos que derivan insights procesables basados ​​en casos individuales, podemos resolver más problemas de salud para más pacientes y mejorar las operaciones de más máquinas en ambientes más diversos. Es nuestra búsqueda proporcionar nuevos enfoques que también son intuitivos para millones de profesionales y son escalables para billones de dispositivos.