Jeff Saltz

Syracuse University | SU · Information Institute of Syracuse

Data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the use of big data analytics can also introduce many ethical concerns, stemming from, for example, the possib...

New information and communication technologies are changing the way products are developed, manufactured, serviced and managed over the product’s lifecycle. Today’s smart products not only consist of their physical components, but are also endowed with intelligence. Data and the capabilities to process data into knowledge and eventually decisions h...

The networked future will generate a huge amount of data. With this in mind, using big data analytics will be an important capability that will be required to fully leverage the knowledge within the data. However, collecting, storing and analyzing the data can create many ethical situations that data scientists have yet to ponder. Hence, this paper...

Data science is a new field that integrates aspects of computer science, statistics and information management. As a new field, ethical issues a data scientist may encounter have received little attention to date, and ethics training within a data science curriculum has received even less attention. To address this gap, this article explores the di...

Data-driven analytics models have been built as critical components of a smart product to enable product autonomy and intelligence. Due in part to the dynamic nature of the machine-learning algorithms used in data-driven analytics models, the configuration of a smart product is frequently refined, often in a real-time context. Hence, a smart produc...

With the increasing availability of synchronous video-based breakout rooms within online courses, there is a growing need to understand how to best leverage this capability for enhanced information technology education. To help understand how to use these breakout rooms, a case study on their use is discussed. The study suggests that students often...

The challenge in executing a data science project is more than just identifying the best algorithm and tool set to use. Additional sociotechnical challenges include items such as how to define the project goals and how to ensure the project is effectively managed. This paper reports on a set of case studies where researchers were embedded within da...

New information and communication technologies are changing the way products are developed, manufactured, serviced and managed over the product’s lifecycle. This paper investigates how engineers and data scientists can effectively collaborate in a mixed team to develop smart products by employing Data-Driven Design (D3) paradigm. Data-Driven Design...

New information and communication technologies are reshaping the way products are developed, manufactured, serviced and managed over the products' lifecycle. This paper investigates how engineers and data scientists can effectively collaborate in a mixed team to develop smart products by employing Data-Driven Design (D3) paradigm. Data-Driven Desig...

With the ability to collect, store and analyze an ever-growing diversity of data generated with ever-increasing frequency, Big Data is a rapidly growing field. While tremendous strides have been made in the algorithms and technologies that are used to perform the analytics, much less has been done to determine how the team should work together to d...

This paper reports on our review of published research relating to how teams work together to execute Big Data projects. Our findings suggest that there is no agreed upon standard for executing these projects but that there is a growing research focus in this area and that an improved process methodology would be useful. In addition, our synthesis...

We present an open co-op program called Global Enterprise Technology Immersion Experience (GET IE) developed by JPMorgan Chase & Co. and Syracuse University. The new program creates a global enterprise focus in technology-oriented academic majors, integrated with hands-on experiential work-based learning to provide a context in which students are s...

The vast majority of Fortune 500 companies use mainframe-computing platforms. However, few universities expose students to this environment. Mainframes continue to show leadership capabilities in the areas such as security, reliability, scalability, flexibility, and integration. As businesses continue to rely on mainframe computers to power their t...