Big Data Streams for 2020

Sample

Following on from our first round of rigorous industry research, we are delighted to present our new streams for 2020.

If you’re interested to present your story within one of these, make sure you contact our Producer, Katya Hoile, on: k.hoile@closerstillmedia.com

Data management and integration

Dealing with the sheer abundance and acceleration of multi-source data is a huge challenge facing most organisations today. Departmentally there are different platforms used with diverse data sets, and an uptake of multi-cloud strategies to further complicate the matter. Many companies admit that they are still yet to overcome this. How do we tackle the issue of integrating organisational silos and ensure the different platforms communicate effectively? How do we make data more easily accessible and accountable for both employees and customers? With more focus on customer experience and personalisation, it is essential to have a data management layer that has strong analytics capabilities.

How can we achieve this?

Data architecture and databases

It’s been said that the survival of a business is dependent on having an agile and data-centric architecture. Encompassing data collection, governance and security amongst other processes, data architecture addresses the current and future data management needs of an enterprise. Alongside this, the increasing number of disparate databases is generating silos and difficulties with data accessibility.

Join the discussion around producing an effective data architecture.

Analytics, DataOps and decision-making

Most organisations are continuing to invest heavily in analytics. With the new generation of tools, time taken to generate reports and uncover relevant business insights is already being rapidly reduced. Augmented analytics and DataOps are producing a disruptive wave, increasing demands for analysts to become more business savvy and be able to tell compelling stories with data.

Join the discussion about the evolving world of analytics, the importance of data quality and creating a targeted customer strategy.

BI and data discovery

Experiencing data silos is nothing new for organisations, but the rise of machine learning and data discovery might be the solution - helping to reduce the time to sift through data and find valuable insights that can be exploited for competitive advantage. The challenges for BI, however range from ensuring we have diverse data sets to avoid bias in decision making, to helping scientists centralise their insights with actions. We will also be exploring BI platforms, self-service and embedded analytics, and using AI to find the patterns and outliers in data.

We will look at why this is important to ensure your information drives business value and improves customer experience. 

Data privacy, data security and regulation

With the great wealth of data produced daily, the constant battle is ensuring that it is valuable, secure from hackers and compliant with ever-tightening regulations. This underpins all aspects of a data-centric business. As we have already experienced, business data is highly attractive to hackers and we desperately need to mitigate the uncertainties in order to maintain consumer trust and company reputation.

So how do we become more proactive in our approach to data privacy and regulation? How do we identify the vulnerabilities and take the necessary measures to secure these? 

Data and the customer

Using data analytics and AI, many have already improved CX and sales by creating more real-time, personalised experiences and recommendations. Can we produce revenue-generating insights while keeping the user's privacy and rights in mind? And have you considered the social impact of commercialising personal data? Join us to discuss how best to map your customer journey to put yourself ahead of the competition. 

Data Quality and Governance

Data quality and governance are huge challenges currently facing organisations -- impacting decision making, commercial opportunities and user experience. With such business-critical consequences, it’s no surprise that this is a top priority. This stream will explore best practice for data quality management including how to mitigate human error in data entry, the role of automation and master data solutions. Also how organisations can integrate a watertight data governance strategy to harmonise this and drive consistent, quality data from people, processes and systems.

Data-centric culture and talent

With a significant skills gap emerging in the industry, and lack of departmental alignment, how and why should we make data everybody’s business? It is fair to say that there is a necessity for cultural change in order to break down organisational silos and to drive a customer-first approach. This stream will explore the importance of developing and implementing a data-centric culture in order to both highlight the opportunities in big data, and accelerate the deployment of new capabilities. The increasing demand for recruiting, retaining and developing talent is essential to this process, especially given the crossover of technical and business requirements of data-focused roles today. 

RPA, AI and ML

This session will bring to light the latest case studies and progress in RPA, AI and ML, including the recent uptake of MLaaS. We’ll look at what organisations have done thus far to overcome common obstacles such as data quality, bias and scalability, but also at how to tackle the skills gap and why this is key to mass AI enterprise integration. 

Cloud, storage and data platforms

It is not only important how you manage your data, but how and where you store it. Cloud has been at the forefront of this shift in data storage and now data platforms are increasingly being deployed in these environments. As ever, this is not without its challenges including: security, data management and integration across hybrid and multi-cloud landscapes. For data leaders, the burning question is also who will power their AI, ML and analytics strategy; is this the platforms, cloud vendors or the specific big data solution providers? Let’s discuss both the business opportunities and the challenges that cloud and data platforms create, and how to select the best option for your organisation.

Applications of deep learning

Deep learning is highly relevant for enterprise organisations especially with vast quantities of data available for processing. These algorithms, however, are complex and require a lot of nurturing to get right. This stream will dissect the uses of deep learning such as smart assistants or augmented analytics. It will also explore the challenges of training learning models and the interoperability between neural networks.

Responsibility for security

The importance of securing data cannot be understated especially as AI-driven analytics gains evermore personal insights, and tools such as facial recognition track individual whereabouts. The first steps to legislating privacy have begun, but all businesses have an obligation to use consumer data ethically and protect against attack. So sit down with your security team and work out a plan of action.

What are your responsibilities? What legislation will impact your latest deployments and what resources you need to protect your reputation, assets and customers?

CX and immersive tech

To be competitive, customer experience needs to be at the forefront of your development objectives. As seen with the introduction of smartphones, immersive experiences will soon be the next evolution seamlessly integrated into our everyday lives. For many organisations VR, AR and MR aren’t a major consideration and for those exploring, it’s often in silos. But, there is a real opportunity to get ahead, take your customer experience to the next level and educate yourself. This stream will support your CX strategy and share new developments in self-service, enhanced personalisation as well as showcasing how AI can create successful multi-channel customer experiences.

Process of automation and the human factor

Process automation, though not AI, is an important tool for organisations especially in the finance and retail world. RPA or robotic process automation can revitalise employees by doing away with their repetitive, mundane tasks and inspire productivity to work alongside the bots. This stream will explore the opportunities for organisations including for customer onboarding, monitoring and controlling risk and identifying potential fraud as well as the new possibilities when we add a layer of intelligence and empower our employees.

Enterprise AI and in-house skills

For those early adopters, AI is already delivering positive ROI. The bulk of use cases have created smarter products, optimised internal operations and enhanced decision making; however organisations are faced with a skills gap to manage these new projects and business models. This stream will share the successes, challenges, types of delivery platforms and the skills needed in-house to embed AI into the very core of your organisation. Also hear where businesses are investing in AI next and whether the concerns around cyber security will hold them back.

Growth of AIOps

AIOps is the next buzzword you’re scratching your head over and calculating whether it really can live up to the promise of improving IT productivity. Said to drive efficiencies and real-time insights for networking teams, containers and even cloud environments, this stream is set to expand your knowledge and awareness of deploying AI in IT operations.

What are the benefits, challenges and case study examples of the impact on digital experience?

Augmented and predictive analytics

Combined with machine learning, analytics enables organisations to get deeper and faster insights. With the growth of adoption, let’s explore the best approach and solutions for your business users and support the hard work of your data scientists.

Also what’s next for analytics with machine learning and will it impact the role of business intelligence solutions?

Latest News

Partners

Media Partner


 

Media Partner


 

Media Partner


 

Testimonials

  • "The show has been good. There’s been a lot of people, a lot of attendance. People passing by; I kind of like the idea of having different types of businesses like IoT, Security and Big Data, having a nice mix of things. I get the chance to talk to some people that have a complete different perspective.”
    Principal Sales Engineer - Maria DB
  • “We’ve been on exhibition duty the whole time. It’s been that busy. I has a box of business cards when I arrived, 500, and all gone, every single one is gone. Really engaging. “It’s our second time at the show, we did it last year. Definitely had to do it again this year, and it’s been a resounding success, really really good. I would suggest that anybody that is entering this market space, look at the BDW show, not only form a view point of exhibiting, but also presenting. You have to do the two together to make it worthwhile."
    Sales Director, UK – Splash BI
  • “It is the first year we exhibit and I find the event super interesting. We gave a talk, which was very well attended and afterwards we had very good discussions. I would say the event was innovative and offers good opportunities to network.”
    Marketing Manager - Oracle
  • “This is our second time participating in Big Data World in Singapore and we’ve seen a lot of traffic over the two days. The conversations in the big data community around machine learning is a lot more mature here. Not only the delegates are interested in big data, they are also keen to learn more about data science, artificial intelligence and internet of things.”
    Regional Sales Director - Qubole Inc.
  • "Pivigo has participated in many events in the UK & Europe over the last 12 months and Big Data World was by far the best of them all. The event was a huge success delivering a ROI, prompting us to participate in Big Data World in Germany and London next year."
    Marketing & Communications Manager - Pivigo
  • "I have taken away some great ideas from Big Data World! I have talked with some great suppliers which was my main reason for attending – to connect and network with people in the industry. There’s not many opportunities like this for you to go to one place and see everything in one room. I hope to be back again next year! "
    Head of Data Science - Barclays (Visitor)
  • "Cloud Expo Europe & Data Centre World located alongside Big Data World added huge value to my experience at the event as it made me think about the different ways of relating to data & making me question things which I don’t usually think about from a data point of view in my every day work life. Overall, I liked the range, scope & diversity of the event and I will definitely recommend the rest of the Sky team attend alongside myself in 2019."
    Data Scientist - Sky (Visitor)
  • "I’m here to learn about all emerging technologies, get an insight into the developments in the technology world. I think around Cloud and Machine Learning and AI are all big areas to cover so I think being able to get high level insights from the presentation available is important. I will be coming back next year as well."
    Senior Director - Ralph Lauren (Visitor)