Business Performance (BPI) Network: InnovatorProfiles

Innovator Profile

Id: 52
Summary Bio: Hicham Sabir is the Open Innovation Leader for North America at Philips Lighting. He holds an Engineering Degree from French Engineering School Arts et Métiers and a Master of Science in Applied Physics from Chalmers University of Technology in Sweden. Prior to his current position, Sabir worked in Philips Lighting’s R&D and venture teams to build up Philips’ LED Lamps portfolio, professional systems and connectivity solutions. Sabir says the iconic global brand is responding to a profound disruption – connectivity – not only with leading connected solutions and optimized illumination but also with transformative new business models. In addition to its market-leading suite of lighting products for both B2B and B2C environments, Philips Lighting offers data-enabled solutions in an extraordinary diversity of applications – from helping building managers optimize their office spaces, to guiding retail shoppers to sale items with game-changing accuracy, to improving safety and livability for smart cities. “Lighting is ubiquitous,” says Sabir. “It’s everywhere people are. Imagine connecting even a small percentage of this lighting, you will end up with the largest connected IoT network in the physical space. Our ambition for Philips Lighting is to be the lighting company for the Internet of Things, turning light sources into data points to connect more devices, places and people through light.” Sabir says the company is achieving transformation through a collaborative approach to innovation that includes partnerships with expert vendors in new technologies and use case applications to achieve their maximum potential through lighting infrastructure. He told BPI that the applications and value emerging from its data-enabled services are such that it is no longer optimal for traditional procurement or lighting executive teams to explore partnerships on their own – because other departments’ stakeholders, from IT and finance to sustainability and marketing, stand to benefit directly from the data-enabled solutions.  “From our <a href="http://www.lighting.philips.com/main/systems/connected-lighting/citytouch">Philips CityTouch</a> connected street lighting solution to the category leader for connected home lighting, <a href="http://www2.meethue.com/en-us/">Philips Hue</a>,– connectivity is driving innovation use cases throughout the entire Philips Lighting portfolio,” he says.
Answer 1: There are two significant trends driving the growth of the lighting industry and new innovations in lighting technology. The first is increasing demand for more energy-efficient light. According to the US Energy Information Association, <a href="https://www.eia.gov/energyexplained/index.cfm?page=electricity_use">lighting accounts for 10% of total electricity consumption in the US</a>. Switching to LED enables light-related energy savings up to 50% - and that number jumps to 80% when paired with smart controls. There is a tremendous retrofit opportunity as a significant portion of light points in the US still need to be converted to LED. The second is the increasing potential of lighting systems and services that harness the power of digital light. Lighting infrastructure already exists everywhere that people live, work, travel, shop, dine and interact. From cities and stores to offices and homes, lighting systems are being transformed into information pathways with the capacity to collect and share data, and offer new insights that enable, and really drive, the Internet of Things. These lighting systems become a conduit to exciting new services, enabled by data, that make people’s lives more safe, inspired, and comfortable, make businesses more productive and profitable, make cities more efficient and livable, and make the world more sustainable and prosperous. Connectivity will continue to proliferate as technology evolves and volumes drive costs down. The smart city is a great example of growth potential for connectivity. Globally, just 2 percent of installed street lighting systems are connected today, but this number is set to reach 35 percent by 2025, according to a recent market analysis from Philips Lighting. This represents a huge opportunity to help enable smart cities in order to improve public safety and services. In retail, our visible light communication technology enables customers to have precise positioning of devices to help them navigate the retails stores and find sales, while at the same time providing the store with detailed analytics on what the shoppers are doing. In commercial buildings, connected lighting systems can collect, share and analyze data that uncover insights into new capabilities such as space optimization and employee experience. With technology that exists today, we can equip every light with a sensor that can collect all kinds of data points about the office environment and its uses. With these insights, there is so much more value that a building can afford its tenants, or companies offer to its employees, beyond illumination. The Open Innovation team is responsible for the identification of disrupting trends and the selection of the startups and partners that will help us respond to those disruptions. My approach with the open innovation team is to be vocal about what we are trying to do and find the right partners within the greater innovation ecosystem who specialize in areas of technology that are complementary. Our overall innovation strategy is to grow the company in data-enabled services and build partnerships with organizations who we may not otherwise have dealt with – those with higher risk profiles, or larger companies within verticals we would not normally engage.
Answer 2: The benefits of our connected systems go far beyond the lighting itself. When we talk to a city, we talk to the lighting and infrastructure and utility guys. They know all about lighting and energy savings, but when you start talking about acoustic sensing, or lighting that can help improve traffic safety, you need a discussion with additional departments. Those applications will trigger further innovation for both parties. We are starting to see cities hiring Chief Innovation Officers and CTOs, precisely to bridge the gap between technology , city operations and public services.
Answer 3: We have a long history of innovation, and we are well positioned on awareness on the need for innovation. Our 125-year legacy of innovation is core to our business and to meeting our customers’ needs. We are pioneering breakthrough innovations in products, system architectures and services – making bold investments in sensors, cloud-based controls platforms, connected lighting, indoor positioning technology and consumer-based personal wirelessly controlled home lighting systems. We invest approximately 5% of sales revenue in R&D to ensure we remain at the forefront of lighting technological developments. Our culture was formerly structured around large internal R&D teams. Over the past five or six years, we became more structured toward partnerships for external innovation. We recognize that there are partners that have complementary areas of expertise and experience. By sharing, learning and working with one another, we can explore new ideas and open new opportunities. There is no comparison with the current speed of innovation compared to ten years ago. There is a sense of urgency where a typical innovation project today will take three to six months, while that might have lasted two years prior to the LED revolution. Internally, we have a number of innovation challenges within and between our R&D teams. For example, every few months, there will be a challenge for sourcing ideas from engineers on how new approaches can be applied elsewhere in the portfolio. We try to bridge this gap by involving additional stakeholders in the organization. One of the things that has been most instrumental is connecting with marketing. Meetings with our marketing teams on what they are seeing outside help us to make more informed decisions about how to improve our products or create new solutions.
Answer 4: We want to become a data-enabled services company. Technologies like AI and IoT are all critical to delivering services based on data insights, so they are vital for our continued success and innovation. We need to have connected systems and sensors to extract information from the physical space. We also need to make sense of unstructured data, which is where artificial intelligence comes in. And we need to be able to commercialize and offer services, including exciting new business models. In the professional space, in some of the smart cities and smart building projects we do, the customers are paying for lighting services, not for the light system itself. This is what we call light-as-a-service. Our revenue depends on the performance of the system, so it is vital to ensure the system is operating as efficiently and effectively as possible. With IoT, you can optimize maintenance contracts. If I send people to repair three street lights, they will have the right diagnosis and the right parts. If I see there are ten nearby lights that will fail in a month or two, I can make the decision to replace them all now to reduce my overall maintenance costs. The ideal scenario will send someone to fix the problem before the customer notices there is something wrong.
Answer 5: I am a big fan of innovative products like our Philips Hue connected home lighting system. When paired with smart home platforms, particularly voice assistants like Amazon Alexa, Apple HomeKit and Google Assistant, Philips Hue is transforming the way consumers experience and interact with light at home. Finally, I am intrigued by the autonomous driving revolution and the scaling-up of electric vehicles.
Leader: Hicham Sabir

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 summary_bioHicham Sabir is the Open Innovation Leader for North America at Philips Lighting. He holds an Engineering Degree from French Engineering School Arts et Métiers and a Master of Science in Applied Physics from Chalmers University of Technology in Sweden. Prior to his current position, Sabir worked in Philips Lighting’s R&D and venture teams to build up Philips’ LED Lamps portfolio, professional systems and connectivity solutions. Sabir says the iconic global brand is responding to a profound disruption – connectivity – not only with leading connected solutions and optimized illumination but also with transformative new business models. In addition to its market-leading suite of lighting products for both B2B and B2C environments, Philips Lighting offers data-enabled solutions in an extraordinary diversity of applications – from helping building managers optimize their office spaces, to guiding retail shoppers to sale items with game-changing accuracy, to improving safety and livability for smart cities. “Lighting is ubiquitous,” says Sabir. “It’s everywhere people are. Imagine connecting even a small percentage of this lighting, you will end up with the largest connected IoT network in the physical space. Our ambition for Philips Lighting is to be the lighting company for the Internet of Things, turning light sources into data points to connect more devices, places and people through light.” Sabir says the company is achieving transformation through a collaborative approach to innovation that includes partnerships with expert vendors in new technologies and use case applications to achieve their maximum potential through lighting infrastructure. He told BPI that the applications and value emerging from its data-enabled services are such that it is no longer optimal for traditional procurement or lighting executive teams to explore partnerships on their own – because other departments’ stakeholders, from IT and finance to sustainability and marketing, stand to benefit directly from the data-enabled solutions. “From our <a href="http://www.lighting.philips.com/main/systems/connected-lighting/citytouch">Philips CityTouch</a> connected street lighting solution to the category leader for connected home lighting, <a href="http://www2.meethue.com/en-us/">Philips Hue</a>,– connectivity is driving innovation use cases throughout the entire Philips Lighting portfolio,” he says.
 answer_1There are two significant trends driving the growth of the lighting industry and new innovations in lighting technology. The first is increasing demand for more energy-efficient light. According to the US Energy Information Association, <a href="https://www.eia.gov/energyexplained/index.cfm?page=electricity_use">lighting accounts for 10% of total electricity consumption in the US</a>. Switching to LED enables light-related energy savings up to 50% - and that number jumps to 80% when paired with smart controls. There is a tremendous retrofit opportunity as a significant portion of light points in the US still need to be converted to LED. The second is the increasing potential of lighting systems and services that harness the power of digital light. Lighting infrastructure already exists everywhere that people live, work, travel, shop, dine and interact. From cities and stores to offices and homes, lighting systems are being transformed into information pathways with the capacity to collect and share data, and offer new insights that enable, and really drive, the Internet of Things. These lighting systems become a conduit to exciting new services, enabled by data, that make people’s lives more safe, inspired, and comfortable, make businesses more productive and profitable, make cities more efficient and livable, and make the world more sustainable and prosperous. Connectivity will continue to proliferate as technology evolves and volumes drive costs down. The smart city is a great example of growth potential for connectivity. Globally, just 2 percent of installed street lighting systems are connected today, but this number is set to reach 35 percent by 2025, according to a recent market analysis from Philips Lighting. This represents a huge opportunity to help enable smart cities in order to improve public safety and services. In retail, our visible light communication technology enables customers to have precise positioning of devices to help them navigate the retails stores and find sales, while at the same time providing the store with detailed analytics on what the shoppers are doing. In commercial buildings, connected lighting systems can collect, share and analyze data that uncover insights into new capabilities such as space optimization and employee experience. With technology that exists today, we can equip every light with a sensor that can collect all kinds of data points about the office environment and its uses. With these insights, there is so much more value that a building can afford its tenants, or companies offer to its employees, beyond illumination. The Open Innovation team is responsible for the identification of disrupting trends and the selection of the startups and partners that will help us respond to those disruptions. My approach with the open innovation team is to be vocal about what we are trying to do and find the right partners within the greater innovation ecosystem who specialize in areas of technology that are complementary. Our overall innovation strategy is to grow the company in data-enabled services and build partnerships with organizations who we may not otherwise have dealt with – those with higher risk profiles, or larger companies within verticals we would not normally engage.
 answer_2The benefits of our connected systems go far beyond the lighting itself. When we talk to a city, we talk to the lighting and infrastructure and utility guys. They know all about lighting and energy savings, but when you start talking about acoustic sensing, or lighting that can help improve traffic safety, you need a discussion with additional departments. Those applications will trigger further innovation for both parties. We are starting to see cities hiring Chief Innovation Officers and CTOs, precisely to bridge the gap between technology , city operations and public services.
 answer_3We have a long history of innovation, and we are well positioned on awareness on the need for innovation. Our 125-year legacy of innovation is core to our business and to meeting our customers’ needs. We are pioneering breakthrough innovations in products, system architectures and services – making bold investments in sensors, cloud-based controls platforms, connected lighting, indoor positioning technology and consumer-based personal wirelessly controlled home lighting systems. We invest approximately 5% of sales revenue in R&D to ensure we remain at the forefront of lighting technological developments. Our culture was formerly structured around large internal R&D teams. Over the past five or six years, we became more structured toward partnerships for external innovation. We recognize that there are partners that have complementary areas of expertise and experience. By sharing, learning and working with one another, we can explore new ideas and open new opportunities. There is no comparison with the current speed of innovation compared to ten years ago. There is a sense of urgency where a typical innovation project today will take three to six months, while that might have lasted two years prior to the LED revolution. Internally, we have a number of innovation challenges within and between our R&D teams. For example, every few months, there will be a challenge for sourcing ideas from engineers on how new approaches can be applied elsewhere in the portfolio. We try to bridge this gap by involving additional stakeholders in the organization. One of the things that has been most instrumental is connecting with marketing. Meetings with our marketing teams on what they are seeing outside help us to make more informed decisions about how to improve our products or create new solutions. 
 answer_4We want to become a data-enabled services company. Technologies like AI and IoT are all critical to delivering services based on data insights, so they are vital for our continued success and innovation. We need to have connected systems and sensors to extract information from the physical space. We also need to make sense of unstructured data, which is where artificial intelligence comes in. And we need to be able to commercialize and offer services, including exciting new business models. In the professional space, in some of the smart cities and smart building projects we do, the customers are paying for lighting services, not for the light system itself. This is what we call light-as-a-service. Our revenue depends on the performance of the system, so it is vital to ensure the system is operating as efficiently and effectively as possible. With IoT, you can optimize maintenance contracts. If I send people to repair three street lights, they will have the right diagnosis and the right parts. If I see there are ten nearby lights that will fail in a month or two, I can make the decision to replace them all now to reduce my overall maintenance costs. The ideal scenario will send someone to fix the problem before the customer notices there is something wrong.
 answer_5I am a big fan of innovative products like our Philips Hue connected home lighting system. When paired with smart home platforms, particularly voice assistants like Amazon Alexa, Apple HomeKit and Google Assistant, Philips Hue is transforming the way consumers experience and interact with light at home. Finally, I am intrigued by the autonomous driving revolution and the scaling-up of electric vehicles.
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 bio_fullHicham Sabir is the Open Innovation Leader for North America at Philips Lighting. He holds an Engineering Degree from French Engineering School Arts et Métiers and a Master of Science in Applied Physics from Chalmers University of Technology in Sweden. Prior to his current position, Sabir worked in Philips Lighting’s R&D and venture teams to build up Philips’ LED Lamps portfolio, professional systems and connectivity solutions. Sabir says the iconic global brand is responding to a profound disruption – connectivity – not only with leading connected solutions and optimized illumination but also with transformative new business models. In addition to its market-leading suite of lighting products for both B2B and B2C environments, Philips Lighting offers data-enabled solutions in an extraordinary diversity of applications – from helping building managers optimize their office spaces, to guiding retail shoppers to sale items with game-changing accuracy, to improving safety and livability for smart cities. “Lighting is ubiquitous,” says Sabir. “It’s everywhere people are. Imagine connecting even a small percentage of this lighting, you will end up with the largest connected IoT network in the physical space. Our ambition for Philips Lighting is to be the lighting company for the Internet of Things, turning light sources into data points to connect more devices, places and people through light.” Sabir says the company is achieving transformation through a collaborative approach to innovation that includes partnerships with expert vendors in new technologies and use case applications to achieve their maximum potential through lighting infrastructure. He told BPI that the applications and value emerging from its data-enabled services are such that it is no longer optimal for traditional procurement or lighting executive teams to explore partnerships on their own – because other departments’ stakeholders, from IT and finance to sustainability and marketing, stand to benefit directly from the data-enabled solutions. “From our <a href="http://www.lighting.philips.com/main/systems/connected-lighting/citytouch">Philips CityTouch</a> connected street lighting solution to the category leader for connected home lighting, <a href="http://www2.meethue.com/en-us/">Philips Hue</a>,– connectivity is driving innovation use cases throughout the entire Philips Lighting portfolio,” he says.
 summaryHicham Sabir is the Open Innovation Leader for North America at Philips Lighting. He holds an Engineering Degree from French Engineering School Arts et Métiers and a Master of Science in Applied Physics from Chalmers University of Technology in Sweden. Prior to his current position, Sabir worked in Philips Lighting’s R&D and venture teams to build up Philips’ LED Lamps portfolio, professional systems and connectivity solutions. Sabir says the iconic global brand is responding to a profound disruption – connectivity – not only with leading connected solutions and optimized illumination but also with transformative new business models.
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 descriptionOverview The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity. While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. 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Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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  5CORE/Routing/Route/CakeRoute.php
  6CORE/Routing/Route/RedirectRoute.php
  7CORE/Routing/Route/PluginShortRoute.php
  Utility
  0CORE/Utility/Hash.php
  1CORE/Utility/ObjectCollection.php
  2CORE/Utility/Debugger.php
  3CORE/Utility/String.php
  4CORE/Utility/ClassRegistry.php
  5CORE/Utility/Inflector.php
  6CORE/Utility/Folder.php
  View
  0CORE/View/HelperCollection.php
- app
  Component
  0APP/Controller/Component/PasswordComponent.php
  Config
  0APP/Config/core.php
  1APP/Config/bootstrap.php
  2APP/Config/routes.php
  3APP/Config/database.php
  Controller
  0APP/Controller/InnovatorProfilesController.php
  1APP/Controller/AppController.php
  Model
  0APP/Model/Menu.php
  1APP/Model/AppModel.php
  2APP/Model/User.php
  3APP/Model/Article.php
  4APP/Model/Event.php
  5APP/Model/Report.php
  6APP/Model/Leader.php
  7APP/Model/Program.php
  8APP/Model/Tag.php
  9APP/Model/Brainwafe.php
  10APP/Model/Tracking.php
  11APP/Model/Download.php
  12APP/Model/MediaCoverage.php
  13APP/Model/InnovatorProfile.php
  Other
  0APP/webroot/index.php
  1APP/Lib/AppError.php
  2APP/Vendor/ChromePhp/ChromePhp.php
  3APP/Lib/Captcha/Captcha.php
- plugins
  DebugKit
  Component
  0DebugKit/Controller/Component/ToolbarComponent.php
  Plugin
  0DebugKit/Lib/DebugMemory.php
  1DebugKit/Lib/Panel/HistoryPanel.php
  2DebugKit/Lib/DebugPanel.php
  3DebugKit/Lib/Panel/SessionPanel.php
  4DebugKit/Lib/Panel/RequestPanel.php
  5DebugKit/Lib/Panel/SqlLogPanel.php
  6DebugKit/Lib/Panel/TimerPanel.php
  7DebugKit/Lib/Panel/LogPanel.php
  8DebugKit/Lib/Log/Engine/DebugKitLog.php
  9DebugKit/Lib/Panel/VariablesPanel.php
  10DebugKit/Lib/Panel/EnvironmentPanel.php
  11DebugKit/Lib/Panel/IncludePanel.php
  12DebugKit/Lib/DebugTimer.php
  LessCompiler
  Component
  0LessCompiler/Controller/Component/LessComponent.php
  Plugin
  0LessCompiler/Lib/LessCompiler.php
  1LessCompiler/Vendor/lessc.php
  Minify
  Config
  0Minify/Config/routes.php
  Opauth
  Config
  0Opauth/Config/bootstrap.php
  1Opauth/Config/routes.php
====

Business Performance (BPI) Network

Innovator Profile

Actions

Request History

Session

Request

Cake Params

Post data

Query string

Cookie

Current Route

Sql Logs

default

Total Time: 0 ms Total Queries: 22 queries

Query Explain:

Memory

Timers

Logs

View Variables

App Constants

CakePHP Constants

PHP Environment

Included Files

Include Paths

Included Files

Total Time: 0 ms
Total Queries: 22 queries