Data and analytics leaders serve in many forms. Whether you are the chief data officer, a department head focused on the numbers or simply the go-to data “guru” in your workgroup — your organization is counting on you. So, find your purpose. Perhaps you want to put AI at the center of your business model, create a data-literate workforce or ensure the ethical use of data. Regardless of your initiatives, you will lead them in a world of continuous change where it is not always easy to do the right thing. Are we building a data-driven organization or creating a tyranny of metrics? Are we optimizing business outcomes with analytical insights or violating personal privacy? This opening keynote to Gartner’s 2019 Data & Analytic Summit will show you how to lead with purpose in an ambiguous world.
Mercari, Inc. has been focusing on fact-based decision making. In this session, I explain from the standpoint of Mercari’s chief business analyst why Mercari focuses on fact-based decision making and how Mercari becomes a data-driven organization. Also, I introduce specific case examples related to Mercari’s organization and culture including team collaboration of Mercari’s analytics team and other teams.
In this session, we’ll explore the evolution of AI and Machine Learning as part of the broader data science discipline, and discuss why the fundamental need for data readiness is so crucial. Learn key steps to evaluate the readiness of your data and review how Customer Data Platform can help optimize your data from developing AI/ML-ready data to activating data.
With the wave of “Augmented Analytics” (automation in the BI / analytics area) coming in, Yellowfin is an early adopter of Augmented Analytics and is already used by many customers. We will introduce the difference between traditional analytics and Augmented Analytics, and how the flow of analysis changes, with the case.
Big Data, IoT, Cloud, AI. In the future, while it is required to use a large amount and a wide variety of data, continuing physical copying of these data will be a major management and cost issue. We will introduce data virtualization that solves such problems, with examples.
CIOs and IT leaders need to push senior managements to initiate and proceed with digital transformation. This session will provide guidance on how to drive changes in senior managements and introduce several methods to deal with company politics.
AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented analytics tools to the use of continuous intelligence to interpret streams of data from IoT or the potential of conversational interfaces, there is rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to prioritize the innovations that will drive digital business.
Data and analytics leaders are responsible for both information governance and data monetization. But as a relatively new function in many organizations, data and analytics teams (led by the CDO) are under the spotlight to produce high-quality results quickly and efficiently. This foundational session will cover:
What new skills and roles are needed for data and analytics?
How to organize for success?
And how to avoid potential pitfalls?
For many I&O leaders, AI ecosystems for machine learning and deep learning can be complex and capex intensive. We share the market landscape of cloud solutions for AI, based on our exhaustive market surveys and the current state of the art technologies. We also present best practices in devising hybrid and public cloud strategies.
Recent trends in data analytics platform architecture combine a number of technologies.
In this session, we'll focus on BigQuery and show how it differs from RDB. We'll cover how this is used in analytics platforms, and share what can be achieved with a real use-case.
Introduction of "KDDI IoT Cloud Data Market", a unique data utilization service in the world provided by a telecommunication carrier followed by further presentation of use cases and business models based on the use of au mobile phone location data that KDDI as a telecommunication carrier can obtain and utilize.
This session will provide a high-level introduction to data science and machine learning and their proper function in a data-driven organization. Content will include hype vs. reality, key trends, proven use cases and an overview of leading technologies. How do data science and machine learning fit within both the organization’s analytics and AI strategies? What are the early steps data and analytics leaders should take to invest in data science and machine learning? What do the first two years of a data science and machine learning initiative look like?
Data science techniques harness predictive insights to drive prescriptive action. This presentation will provide an approach for extending from predictive analytics to prescriptive approaches. Questions addressed include: How do predictive and prescriptive analytics complement each other? What are the most common techniques for both? What are best practices and recommendations for combining them as demonstrated through case studies?
This session introduces the seven essential leadership skills needed to successfully drive digital transformation and innovation in Japan. It will provide practical examples on what has worked and lessons learned on what has not worked so well in risk averse, hierarchical and consensus-oriented Japanese enterprises.
Modern analytics and BI tools are deployed on many organizations but agile, governed and business-impactful self-service analytics is still a mirage for most users. From analytics decentralization that remains centralized, to self-service anarchy, failure has many shapes and forms. Learn about best practices to start, evolve and expand self-service analytics for pervasive and timely access to information across the organization.
Experience the world’s leading solution providers in one convenient location.
Please also enjoy the refreshments in the exhibit area.
It is not just about machine learning, but business insights. In this session, many reference cases of dotData providing ‘end-to-end Data Science Automation’ capability shows how AI can extract business insights which has been done by a number of human data scientists.
Visualization and AI function is booming on DWH/BI system. Self service BI tools mentioned easy of use. But both DWH/BI system and self BI tool face deep issue actualy. This session explain the detail of this issue and guide how to avoid this.
Best practice roadmaps through Gartner’s implementation styles can create early high-value deliverables to any MDM program. We'll cover typical roadmaps for both customer and product master data and their ability to deliver early business value. How do you choose MDM implementations styles? What are the best practices for sequencing styles? How should you manage the risks of this approach?
Fresh hot roles for the information-savvy organizations are emerging to help organizations become more data-driven. New skills and competencies are required for existing roles to adapt to the changing role of data and analytics. This session will highlight the key roles and responsibilities in data and analytics to be ready for the digital business and the impact on the organization model.
What's happening in data and analytics forcing change?
What's the impact on the organization?
What's the impact on roles and skills?
At CIO Survey 2019, Gartner found that Japanese companies give lower priority to invest in data analytics as "game change" technology. This session will explain what is a barrier and a solution for this in Japanese companies.
A new era is about to begin. There is a need for infrastructure strategy for the new world which is not an extension so far. It is assumed to be digital, Mode 2, cloud. In this session, we describe the next generation infrastructure strategy, IT organization and people’s way of thinking to accelerate preparation for disruption.
Behaviors of unseen human beings and things have been accumulating as mixed rich data. Thanks to such ever-accumulating data, however, can you see more visibility of the world? Rather, more of you think the intelligence for data utilization or AI is increasingly complex and invisible. Would it be better to join and allocate naturally-ever-scaling data effectively? Also, because of the computing system, inherently AI has superior learning capabilities which are far beyond human being’s. Would it be better to utilize such superior learning capabilities of AI? In this session, we explore this challenge through the concept of “data jackets” and “synthesis & specialization-based innovation.”
With using DataRobot which is introduced by NSSOL, Oriental Land is tryng to change for data-driven. This session will describe the current trial, obstacles and vision about the changing company.
Enterprises have started using AI but many of them could not apply it to their business process.
Learning from the experiences of numbers of AI projects, IBM illustrates the approach and IT Architecture that are required for applying AI to business processes. Also, the values of Watson and its latest technology will be introduced in this session.
This session will cover trends and best practices around hiring and training not only data scientists, but the entire skill mix necessary to build successful data science teams: Data engineers, developers, machine learning specialists and domain experts. Training and upskilling have also become vital components of data science initiatives, as citizen data scientists become the leading source of new models and even expert data scientists struggle to keep up with the latest techniques and innovations.
How many traditional data scientists do I need and what does their supporting cast look like?
What are the best options for training and education in data science and machine learning?
What are the organizational principles for placing data science teams?
Japan is lagging the world in digital transformation. Main barriers are lack of talent/resources, culture (e.g., fear of failure) and unclear business scope.
This session shows how CIOs can overcome these barriers and drive digital transformation, working within the culture setting of Japanese enterprises.
Recently, many business executives who hear or read about big data, IoT and AI, or watch about latest case of these believe they also have to do something about data.
On the other hand, many enterprises has been using data but struggling to gain better business outcome.
To gain positive outcome from data, appropriate support organization and leadership is essential.
Data and analytics leaders including CDOs often lack the internal resources or skills needed to speed up and scale D&A and drive digital business value and they look for external support. Although the D&A services market is mature it is also facing disruption, changing the behavior of system integrators and consultancies. So what do DA leaders need to do, to find and choose from hundreds of possible service providers?
When to select an external service provider?
How to select an external service provider?
How to manage the relationship?
With the momentum of AI/Machine Learning and Self-Service BI, it is being recognized that new insights can be obtained from good data. This session will provide Data Prep customer use cases and explain the application scene in digital innovation.
Information systems team and marketing team have different goals, so there are still many challenges to collaborate quickly in data analysis.
In this session, we explain how Google Cloud Platform and G Suite help collaboration across departments.
BI tool vendors stress analytics function superiority, But more important issue is corporation strategy execution. MicroStrategy 2019 provide strategy execution focused function. This session explain our strategy execution support function with demo.
That is why IT leaders are thinking about what data is valuable for the data-driven management. Some IT leaders are asking to the CxOs what they want to know from the data. However, most cases could not have had the exact answer that IT leaders imagined. In this session, discuss the gap and how to avoid it based on the knowledge from interaction with the Gartner customers and interview sessions.
The democratization of ML and the popularity of open-sources languages are facilitating the proliferation of ML models. However, as analytical assets are being deployed across organizations, the scalability of their performance and integrity (and their economic value) is in question. Organizations need to establish data science operational strategies to scale and systematically monetize their data science efforts.
Many organizations are dispensing with the notion of classic enterprise reporting and BI competency centers (BICC) within IT organizations. In their place, self-service analytics and data science organizations have emerged with nascent analytics centers of excellence (ACE) to govern, guide and support them. Yet many such functions tend to lack a significant number of key capabilities.
Augmented analytics is a disruptive trend that leverages machine automation and AI to transform how data is prepared, how insights are generated and shared and how data science and ML models are created and operationalized. This presentation provides an overview of the key trend and how you need to fully leverage it in your organization.
A recent research shows that workforce data literacy has a correlation with enterprise value and corporate performance. Unfortunately,the vast majority of employees within organizations don’t have the confidence with data to truly unlock its potential. This session aims to talk about the analysis of the current state of data literacy and how the data literacy skills gap can be closed from an organizational perspective.
By the progress of AI/IoT Technologies, It is more important to gain values for customers using data analytics. Customer want to realize new business models, services, and innovation of business processes by data driven approach. In this session, we will introduce some use cases and technology trends. And we will introduce about trends for 「AI/Data Democratization」 and related our IT Solutions / Services, too.
Data aggregation into cloud platform is one of the best ways to maximize data utilization. But it is important to consider data governance and data management together.
In this session, We would discuss how we can enjoy power of data with minimizing risks.
Experience the world’s leading solution providers in one convenient location.
Please also enjoy the refreshments in the exhibit area.
Despite digital transformation initiatives underway in various sectors, healthcare providers in Japan are lagging behind in data utilization while medical devices are evolving. Medical information systems based on electronic health records (EHR) in Japan have not made much advances since 1999, but the next-generation systems are now being adopted for digital transformation in healthcare.
This session observes various use cases of medical data and shows the changing landscape and issues in the healthcare environment including future medical information systems.
While driving Mode 2 development through operational integration between BU (web channels) and IS, Sumitomo Mitsui Card Co., Ltd. (SMCC) has developed various marketing programs with data analytics.
Now the sheer volume of big data from web and IT operations must be utilized in not only web channels but also in every business field. For Mode 2 to evolve further, it is essential to create a new style for humans and technologies such as AI to think together.
In this session, we discuss emerging trends of user-driven AI and explain how the next-generation framework is to be created through IS-BU alignment to accelerate the user-driven AI.
The theme of the fourth CDO survey was business impact of the CDO. The following key challenges before CDOs were explored: Ability to quantify the value of organizational information (infonomics), level of embracing emergent and disruptive technologies (such as AI and Blockchain) and operational model (services only or combination of services and enablement). Learn how successful CDOs have addressed each of these challenges in the delivery of positive business impact.
As part of its next-generation farming initiative, Kubota is developing ICT/IoT-driven smart agricultural technologies.
In this session, we explore the following topics and explain Kubota’s efforts to solve the problems being faced at frontlines of agriculture by farmers:
1. Precision farming through data utilization
2. Ultra-labor saving by automation and unmanned operation
3. Development status of labor reduction/saving technologies and where they are heading.
Daniel looks after the Next Generation Analytics & Big Data technology portfolio across APAC, including Informatica’s IoT capabilities. Daniel’s session will talk through how he is moving Informatica’s clients towards event driven architectures based around the growing move towards real-time 360° customer insights.
Toyo Engineering handles a huge amount of 3D data of parts involved in various plant constructions. This presentation discusses how a data analyst without programming background utilized a data analytics platform to make the reporting work from data preparation and blending to analysis 30 times more efficient in a year.
This session discusses how to create or modify the digital strategy in a Japanese enterprise.
In the age of digitalization, "data" is considered as the source of business value. In Japan, many organizations are launching data-focused businesses but on the other hand, privacy risk is also increasing like never before. In this session, we describe the key points organizations must consider in such situations surrounding the enterprise.
(Although this session may include a discussion of related legal issues, Gartner does not provide legal advice or services, and its research or guidance should not be construed or used as such. The client is strongly advised to consult with their own legal counsel in considering and applying the advice and recommendations contained in this session.)
Predictions by data from inside and outside of organization embedded to the packaged applications and SaaS applications. And it will be embedded in the custom-built applications in the company also. On the other hand, it will appear negative impact that will shadow AI, lack of ethics, skills, resources and etc. This session will be talking to data and analytics leaders about what should they know and how to prepare for those issues.
Organizations increasingly need to connect things that share data — disparate data and analytics programs, MDM and master data stores, applications, processes, teams, and external partners. But without a well-planned strategy based on requirements for mediation and governance, it's hard to enjoy a smooth flow of trusted data.
● What are data hubs and how do they support data sharing and governance?
● What are the most effective starting points for a data hub strategy?
● What are the best approaches to architect and deploy data hubs?
Many Japanese user companies are suffering from where to start artificial intelligence. In this session, we will present the next actions to enterprises before the undertaking regarding how to proceed with the initial practice, or companies already undertaking initiatives against the current problem.
In the domain of sports, the boundary between superstition and reality is fairly dark. Many athletes shown on the front cover of a famous sports magazine “Sports Illustrated” become impaired in their condition after one month later. It’s often said to be the curse of the front cover. In reality, it can be explained by mean reversion. How many minutes should we do for good warm-up exercises? When should we decide player substitution? Why is Japan good at 4x100 meter relay? Simply “data” teaches the boundary between superstition and reality. More specifically speaking, the reality can be seen by analyzing disordered messy data. Athlete performance has been clearly improved since the 1980s after adoption of physical trainers. Now, we may say “win or lose” depends on whether using data analyst(s) or not.
Many Japanese organizations want to be “data driven”. The majority have produced PoC’s which leverage data to improve their business in Supply Chain, Customer, Finance or HR. Few organizations have succeeded to achieve lasting transformation, where an internal team helps the business use data, analytics and AI consistently.
I will describe our work with Japanese companies who are re-building teams to guide their own organizations to be fully data driven.
We will host 3 CxO’s from leading companies in Retail, Insurance, and Staffing Services to discuss why enabling organizations to use data more effectively is a prerequisite for digital transformation, and how Augmented Analytics can boost digital transformation initiatives.
Almost every large enterprise has implemented BI tools and they have gotten reasonable outcome. On the other hand, the needs for data is changing day by day, so many users feel frustration against current BI. To get better experience, new visual rich tools and cloud base offerings are purchased by business users. This presentation will explain BI trend and the hint to improve your BI environment.
As the usage of public clouds has expanded, data analysis and machine learning are increasingly being deployed on the cloud. That is not only for cost reduction, but also for new use cases enabled by advanced services. This session will explain how the cloud is transforming data analysis/machine learning.
This session will describe the foundational concepts for the discipline of master data management and the technology solutions that support it. What are the current states of the MDM discipline and its associated software market? What are the latest implementation trends and market developments? How can you prepare to effectively take advantage of these developments?
"What should my Data and Analytics strategy look like" is one of the most common inquiries Gartner's D&A research community gets. This is because the role of D&A is changing. From being a discipline of itself, to becoming a set of capabilities in support of the wider digital strategy or transformation. This presentation will share the best practices that have emerged from hundreds of document reviews and thousands of inquiries.
Utilization of a digital representation of their network drives data enabled decisions, increasing the agility of organization’s supply chain. This session will introduce technologies for transformation of supply chain to help data initiatives and make smarter decisions faster across strategic, tactical and operational time horizons.
Organizations are trying to take advantage of digital technology to reinvent their business. When you make all the available data accessible and give your workforce the power to explore it, you have more potential than ever to capitalize on new business opportunities. This session explains how Qlik solutions deliver data democratization by enterprise-wide information catalogs and improve data literacy with Augmented Intelligence (AI) and natural language processing (NLP) technologies.
Customer's expected standard service level for today is making optimal customer interaction immediately after one's behavior and quickly taking an appropriate action detecting changes or remaining invariance of the situation. In this session, we will introduce several large scale rapid system cases which could not be achieved before and speak about points to be considerd on building.
This session showcases top disruptive innovations with live demonstrations from representative vendors leading in these areas. Key issues addressed include: How can you use the Hype Cycle to track emerging trends? What are 4 innovations that will transform your business and what value do they provide? How do you prioritize your technology investments? Which are the vendors to watch? What challenges should you consider?
This session will also include live demos from representative vendors in each innovation area.
Analytics should be a key enabler of organizations' goals but that is seldom the case. Most initiatives tend to focus on tools deployment and user support with little connection to business objectives. In this session, we describe a step-by-step methodology to design a business-outcomes-driven analytics evolution roadmap with a strong commitment to users and a shift from technology to business impact.
Introducing the term 'information as a second language' (ISL/I2L) as an umbrella for driving data literacy as a core, strategic business discipline.
● What is data literacy and why does it matter?
● What is information as a second language (ISL)?
● How can you improve your organization's data literacy?
IT strategy is now part of business strategy for growth. In this session, you will learn how to start your initiative to define, team, develop, present and measure your IT strategy.
In this session, We explain about the point of utlizing strategic data.
In the recent, it is said that innovation of digital technology has been changing traditional business model dramatically, and also in oreder to develop, it is a key whether a company tackles on utilizing strategic data.
Many companies are seeking ways to utilize their BigData. With distributed processing, it is possible to overcome the barriers caused by processing time and data volume, and bring about a useful impact for your business. In this session, we introduce the success stories by utilizing BigData and prediction solutions using machine learning.
To realize digital transformation, it is necessary to update organization, system and data environment, however many of enterprises have issues on these areas.
In this session, IBM will talk about the latest trend, issues, and necessary approach to realize digital transformation, and have discussion among participants.
Experience the world’s leading solution providers in one convenient location.
Please also enjoy the refreshments in the exhibit area.
With a mission to bring sustainable prosperity to local communities worldwide by transforming agriculture into a competitive industry, GRA has converged Japanese craftsmanship and advanced IT technologies, and generated the MIGAKI-ICHIGO brand which retails for 1000 yen (approx. US$8) per piece. The company has constructed strawberry houses overseas as well as in Japan to work on IT-enabled advanced research and production of strawberry. In this session, we explore "smart agriculture” implemented by GRA.
”Fact and logic ensures your business growth” may sound too good to be true. In fact, Mercari has been rapidly growing by utilizing data for fact-based decision making. What can you do to extract customer behavior patterns and business insights from data, define performance indicators for strategies, and lead improvement efforts at the frontline? From what standpoint should you break down a problem, examine it using data, and choose the best option from effect prediction or AB testing results? This session explores real-world use cases of data analytics from the viewpoint of the data analyst driving Mercari’s agile and speedy decision-making.
What is the best way to capture and harness vast amounts of internal and external big data for effective utilization at real stores?
After years of foundation building, Seven & i’s efforts are now moving forward to achieve the goal. In this session, the head of Seven & i’s Digital Strategy comprehensively explains Seven & i’s digital transformation efforts by showcasing their strategic activities centering around 7iD (Group-wide ID) and Seven & i Data Labs.
Explore with Gartner what is data literacy. Also explore techniques to advance data literacy inside your organization.
Heisei era closed and opened the next era. Tokyo Olympic/Paralympic will come in 2020, it will be a key milestone of the era. However, what future is coming in the next era is not easy to know. In this kind of ambiguity era, IT leaders should know real from trusted data and have insights by analytics. They can then make a decision rapidly and lead the business strongly. This closing keynote will wrap up Gartner sessions in this summit and check your action items from tomorrow.