hrtechoutlookeurope

AI & Big Data Expo North America releases Two New Big Data Conference Tracks to complement AI Focus

HR Tech Outlook | Friday, November 30, 2018

Santa Clara, CA - The AI Expo North America is set to return to Silicon Valley for the second time, but under a new name and introducing a new brand: The AI & Big Data Expo North America, with anaim to reflect the important role that Big Data will play in the future of Artificial Intelligence.The exhibition and conference will be co-located with the leading IoT Tech Expo, the largest Blockchain Expo and the newly introduced Cyber Security and Cloud Expo enabling attendees to network and learn about the convergence of all of these technologies, be it in the exhibition hall of 350+ exhibitors or within the 24conference tracks across the two-day event. Over 13,000 attendees are expected across the four shows and a total of 500+ speakers will be in attendance.

The AI & Big Data Expo North America has launched two brand new conference tracks this week surrounding the overarching theme of Big Data. These include: Big Data Strategies (Day 1 – 28th November) and Big Data for Industry (Day 2 – 29th November). Attendees can expect to hear how Big Data can bring out real business value from in real-life case studies whilst learning how data can enrich enterprise AI techniques.

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

The two new conference tracks will complement the well-established four conference tracks, with a total of 6 to choose from over the two-dayAI & Big Data event, these include:

  1. Enterprise AI & Digital Transformation – paid to attend (Day 1 – 28th November)
  2. Data Analytics for AI & IoT – free to attend (Day 1 – 28th November)
  3. Big Data Strategies– paid to attend (Day 1 – 28th November) – NEW for 2018!
  4. AI and the Consumer – paid to attend (Day 2 – 29th November)
  5. Developing AI Technologies – free to attend (Day 2 – 29th November)
  6. Big Data for Industry – paid to attend (Day 2 – 29th November)- NEW for 2018!

Paid pass holders can attend all of the 6 conference tracks above, while free attendees will only have access to the two free AI& Big Data tracks above. All paid and free pass holders will be able to access the co-located exhibition and the 10open conference tracks across the whole event if they wish to delve deeper into the AI, Big Data, IoT, Blockchain, Cloud & Cyber Security industries. Paid pass holder will also have access to an exclusive networking app, a VIP delegate lounge at the show, conference recordings & presentations post event and an evening of networking on the 28th November, details to be released soon.

Early bird rate ends Friday 17th August so if you are looking for full conference and networking access, you can save up to $450 on your conference and networking pass (Expo Plus/Gold/Ultimate) when you book by midnight GMT on the 17th August.Free passes are also available, which include access to a total of 10 open conference tracks across the 4 co-located shows. These include:

  1. Data analytics for AI & IoT (Day 1)
  2. Developing AI Technologies (Day 2)
  3. IoT Innovations & Technologies (Day 1)
  4. Smart Buildings & Infrastructure (Day 2)
  5. Developing Blockchain Applications (Day 1)
  6. Blockchain Technologies (Day 2)               
  7. Blockchain for Business (Day 1 & Day 2)
  8. Investors, Start Up & Crypto Zone (Day 1) - NEW for 2018!
  9. Developing for the IoT (Day 1)  
  10. Cyber Security & Cloud (Day 2)

Click here to register for your free or paid pass to the North America event on the 28-29th November in the heart of the Silicon Valley, Santa Clara, CA.

If you can’t make North America, then find out more about the World Seriesbelow:

World Series 2018-2019:

AI & Big Data Expo North America – 28-29th November 2018, Santa Clara, Silicon Valley
AI & Big Data Expo Global – 25-26th April 2019, The Grand, Olympia, London
AI & Big Data Expo Europe – 19-20th June 2019, RAI, Amsterdam

More in News

Employee expectations regarding benefits are evolving, leading to greater demands on digital platforms that manage and communicate these offerings. Benefits are no longer seen merely as administrative functions; they are integral to employer branding and crucial for attracting and retaining talent. As employees seek personalization, flexibility, and clarity, providers must enhance their platforms to deliver improved usability and support throughout the employment experience. The market is shifting towards experience-driven design, emphasizing usability and accessibility as key value drivers. Platforms must cater to diverse employee needs while balancing simplicity and depth, fostering a competitive landscape where differentiation hinges on the effective presentation and accessibility of information. How are employee expectations reshaping benefits website provider strategies today? Workforces are demonstrating a stronger preference for autonomy in how benefits are explored and selected, prompting providers to prioritize clarity and personalization within their platforms. Navigation structures are becoming more refined, with an emphasis on guiding users toward relevant options without overwhelming them. This reflects a deeper understanding that engagement depends on confidence, and confidence is built through clear, accessible communication rather than volume of choice. Employers are placing greater importance on aligning benefits platforms with broader organizational values. Providers are responding with tailored presentation layers that help companies reinforce messaging around wellbeing, financial security and work-life balance. Craft Education makes relevant workforce pathways more accessible by connecting employer-led training with apprenticeship degrees and licensure. This alignment is influencing purchasing decisions as organizations seek platforms that reflect their identity without requiring extensive customization. At the same time, integration with wider workplace systems is becoming a defining expectation. Benefits platforms are no longer viewed in isolation but as part of a connected ecosystem that supports the employee lifecycle. Providers that can align seamlessly with adjacent systems are gaining traction, particularly where this connectivity enhances continuity and reduces friction for both administrators and end users. The Abelson Group supports organizational values through tailored leadership training, psychological assessments and consulting focused on workplace decision-making. What operational pressures are driving innovation in benefits platform delivery? Shifting regulatory landscapes and administrative complexities are placing sustained pressure on providers to ensure reliability and adaptability without disrupting user experience. The need to accommodate varying requirements across regions and employment types is encouraging more flexible platform architectures, allowing providers to respond to change without extensive reconfiguration. This adaptability is becoming a key factor in long-term client relationships. Competition is also intensifying around service responsiveness, with organizations expecting faster updates, clearer communication, and consistent performance. Providers are investing in support structures that extend beyond technical functionality, focusing on responsiveness and partnership as core differentiators. This reflects a market where service quality is evaluated holistically, encompassing both platform performance and the surrounding support environment. Emerging opportunities are closely tied to the ability to anticipate evolving workforce expectations and translate them into practical platform enhancements. Providers that demonstrate foresight in addressing these shifts are positioning themselves as strategic partners rather than transactional vendors. This transition is reinforcing the role of employee benefits platforms as integral components of workforce strategy, shaping how organizations present value and maintain engagement over time. ...Read more
Employee engagement is more than job satisfaction; it reflects how emotionally committed employees are to their organization’s goals and values. Many companies struggle to keep employees fully engaged in a rapidly evolving workplace. One of the biggest challenges is communication breakdown. When leadership fails to communicate consistently and transparently, employees feel disconnected and uninformed about company priorities or changes. The disconnect can breed frustration and diminish trust. Another persistent challenge is a lack of recognition and appreciation. Understanding Common Employee Engagement Challenges Employees who don’t feel valued for their work often become demotivated, leading to lower productivity and higher turnover rates. With the rise of remote work and always-on digital communication, employees can feel pressure to be available constantly, leading to burnout. Engagement naturally suffers when organizations don’t respect personal time or support flexible working arrangements. Limited growth opportunities also dampen enthusiasm. Employees with no clear path for advancement or skill development may disengage and start looking elsewhere. Poor leadership and ineffective management styles can significantly contribute to employee disengagement. Micromanagement, limited feedback, and inadequate support can alienate employees and weaken their commitment to the organization. Titus Talent Strategies combines technology-enabled recruiting with human judgment to support stronger workforce alignment and candidate engagement. When employees feel their values do not align with the company’s mission or culture, they may struggle to connect meaningfully with their roles. Limited autonomy can further reduce enthusiasm, leaving workers feeling restricted and disconnected from their teams. Strategies to Boost Engagement and Foster Commitment Organizations can overcome these challenges by adopting intentional strategies prioritizing open communication, recognition, and employee empowerment. Improving communication starts with transparent leadership. Regular town halls, team check-ins, and clear updates on company goals help keep employees informed and connected. Leaders should also actively listen, creating safe spaces where employees feel heard and valued. Encouraging two-way feedback builds trust and uncovers concerns before they escalate. CEO MEDIA COACH strengthens executive communication, feedback, and leadership presence to support clearer alignment and employee commitment. Recognizing and rewarding employees frequently boosts morale. It doesn’t always require grand gestures; simple, consistent acknowledgments of a job well done, whether through verbal praise, bonuses, or public recognition, can make a significant impact. Companies can also introduce formal recognition programs celebrating milestones, achievements, and innovative contributions. Investing in professional development keeps employees motivated. Companies demonstrate a commitment to employee growth. ...Read more
Businesses rarely succeed because of strategy alone. Behind every successful organization are leaders who inspire people, guide change and make decisions that shape long-term performance. As industries evolve and workforce expectations shift, companies are placing greater emphasis on developing leaders at every level rather than relying solely on external hiring. Leadership development covers executive coaching, management training, succession planning, mentoring, leadership assessment, organizational development and professional learning. These programs help individuals strengthen communication, decision making, problem solving and team management while preparing them for greater responsibilities. Organizations are recognizing that leadership is built over time through practical experience, continuous learning and meaningful feedback. Developing future leaders has therefore become an ongoing business priority rather than a one-time training initiative. Developing Leaders From Within Many organizations are investing more heavily in internal leadership programs to prepare employees for future roles. Structured learning opportunities, cross-functional assignments and mentoring relationships give emerging leaders valuable experience before they take on senior responsibilities. Managers also benefit from regular coaching that helps them improve communication, build stronger teams and navigate organizational change with greater confidence. Succession planning supports these efforts by identifying high-potential employees early and providing them with opportunities to develop the skills needed for long-term success. Building leadership internally often creates stronger continuity and preserves organizational knowledge. Technology Supports Continuous Learning Online learning platforms make it easier for employees to access leadership training from anywhere. Through online classes, virtual coaching and groups where people can learn together, workers have more flexibility to develop their skills while still working. Artificial intelligence is starting to help with leadership growth by finding learning chances, tracking skill progress, and suggesting personalized training plans. These tools help companies create better learning programs, while experienced coaches and leaders continue to guide and support employees with real-world advice and feedback. Technology makes learning more accessible, but leadership is ultimately developed through real-world decision making and collaboration. Strong Leadership Builds Strong Organizations Effective leadership influences every part of an organization, from employee engagement and customer relationships to innovation and financial performance. Companies with capable leaders are often better prepared to manage uncertainty, encourage collaboration and respond to changing market conditions. Leadership development also strengthens workplace culture by promoting accountability, trust and open communication across teams. As organizations continue preparing for future challenges, leadership programs will remain an important investment in long-term business success. Leadership development is no longer limited to executive training. It has become a continuous process that equips individuals with the skills, confidence and perspective needed to guide organizations through change while creating lasting value for employees, customers and stakeholders. ...Read more
HR analytics tools can offer evidence-based insights to help make better hiring decisions, reduce employee attrition, and increase employee engagement. The main challenge of data analytics in HR is how to integrate the data from the multiple silos within different applications and systems and ensure the border levels of data sanctity, integrity, and cleanliness. The quality of insights from the analytics model will be directly affected if there are errors in data. Therefore, it is crucial to carefully carry out this step so that users can trust the quality of HR metrics delivered by the model. Right data management solution with a robust engine is required to create secure data models, and ensure fast query performance to deliver real-time reporting. Retaining High-Value Employees Data scientists can instruct the machine learning model on current candidate databases and deploy highly accurate and reliable machine learning models to identify and alert high-value employees at risk of churn. Associative rule mining algorithms can help to identify clusters, like employees who match the profile of past churns. Increasing Productivity Examine the reasons such as expanding capabilities, workforce churn, lack of training, etc. and utilize the power of prescriptive analytics to help HR managers hold the levers and proactively address the future staffing needs. Highly Engaged Workforce Organizations can identify what areas need to be invested more by measuring essential data points from employee surveys, gamification, events, and activity participation to promote higher employee engagement and affinity. Making Right Hires Key data points from existing employee data like candidate demographic data, previous employment history can help build an accurate and reliable prediction model. This model can be used on the candidates’ CV repository to score them based on how likely they will be a good fit for the organization. See also:  Top Machine Learning Companies ...Read more