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MP3 / MM740 Strategy & Information Systems Module 1: Fall 2001 Tech. Overview & Fundamentals John Gallaugher [email protected] www2.bc.edu/~gallaugh Issues to be Covered • Information Technologies & Systems – IT vs. IS; classifications of information systems • Hardware – Moore’s Law & types of computers • Software – Operating systems & intro. to tech. competition – What is Java & why is it important? • Mutli-user Computing Architectures • Data / Information • Types of information systems FoxMeyer Massive System Projects Mergers & Acquisitions Deregulation Globalization The Internet Technical Advances Skills Crunch 5 Components of an IS Data Hardware People Information Systems Software Procedures Hardware Computers Peripherals Networking Equipment Source: Intel Corp. The PC @ 20 2001 Dell Dimension Processor: Intel Pentium 4,1.4 GHz 20 GB hard drive $950 1991 Compaq 486 Processor: Intel 80486, 33 MHz 120 MB hard drive $2,300 1981 IBM PC Processor: Intel 8088, 4.77 MHz Dual 160 KB floppy drives $3,300 Storage Crib Sheet – bit = zero or one, smallest computing unit – byte = 8 bits, one Latin character – kilobyte (K) = 1,024 bytes ~ 1 thousand bytes – megabyte (MB) = 1,024 K ~ 1 million bytes – gigabyte (GB) = 1,024 MB ~ 1 billion bytes – terabyte (TB) = 1,024 GB ~ 1 trillion bytes • Typical PC Capacity (9/01) – RAM = 64 - 256 MB – High Density (HD) diskette - 1.44 MB – Hard Drives = 10 - 80 GB – CDs = >620 MB – DVD = 4.7 GB Types of Computers (the distinction is blurring) • Personal / Microcomputers – relatively compact, one primary microprocessor – desktop, laptop, palmtop, PDA, specialized • Mid-range Systems (Servers) – may have more than one microprocessor, typically multi-user & focused on a functional area or task (marketing, plant management). – Vintage midranges (proprietary OS): IBM AS/400 (updated), DEC VAX (discontinued) – Servers (UNIX/NT): Intel-based, Sun, HP, IBM Types of Computers (cont.) • Mainframes (IBM) – large, expensive computer, supports multiple user groups, terminals, run several applications at once. – costly: support staff, air conditioning, software – secure: centralized programs & data are easier to backup, maintain, and monitor • Super Computers (mfgs: IBM, Hitatchi, Compaq) – massively parallel and/or clustered – used to solve problems requiring long, difficult calculations (e.g.airline scheduling, advanced modeling - biotech, weather, risk management) Software Operating Systems Applications Applets Java Challenges the Paradigm Software Operating Systems control hardware and provide an environment in which applications execute Application Programs end-user program that performs a specific function applications Individual examples: word processor, spreadsheet. operating system Collections of apps: Office (suite), SAP R/3 (ERP) Applets small application programs which execute within a larger environment (e.g. Java applets within browser) Competition in the OS Space Consumer Devices Windows CE Ultimate TV Personal Computers Windows ME Mutli-User Systems Windows 2000 MS Future “Talisker” XBox Windows XP Windows.NET Competition Palm (handheld) Apple Liberate (set top) Sony MS Today Unix (Sun, IBM, HP, Compaq) Linux Java - a Cross-Platform Standard • Java Consist of Two Components – object oriented programming language – virtual machine (software that executes Java byte code) • Advantages – Write-once run-anywhere. Runs on any machine with a JVM regardless of OS or microprocessor – object-oriented language (reuse, faster dev.) – secure • Disadvantages – 1) slow due to download times, 2) slow due to interpreting line by line, 3) inconsistent Java VMs Traditional Programs... … are written for an Operating System (Windows98, Macintosh, etc.) & compiled for a microprocessor (Intel x86, 680x0, PowerPC, etc.). Compiled code is ready to be executed by the appropriate microprocessor (fast). Netscape Navigator for Windows DrawWindow()… … Netscape Navigator for Macintosh GetWindow()… … Windows Compiler Intel code 10010 01001... (code can execute on OS & processor) Macintosh Compiler 680x0 code 01011 00101... PowerPC 11101 code 01110... Java Programs... … are written for the Java Virtual Machine (JVM). In theory, the same Java byte code can execute on any computer with a standard JVM, regardless of OS or processor (write once, run anywhere). Byte code is interpreted line-by-line for each processor (slow). (code is generic & must be interpreted) Java Program Java Compiler OpenWindow()… … Windows, Intel JVM 10110 00110... Macintosh, PowerPC JVM Sun Solaris, Sparc JVM 01011 01100... 11000 01010... Java byte code Compaq UNIX, Alpha JVM 01111 01100... 00010 11110... …and more (JVM software is the interpreter) Java is Often Confused With... • JavaScript – interpreted programming language that co-exists in same files as HTML (doesn’t need to be compiled into byte code) – slower than Java – easier to program – supported by Netscape & Microsoft (w/some consistency problems) – unlike Java, can only be used to create web pages (Java can be used to create stand-alone applications that execute outside the browser). Java is Often Confused With... • ActiveX – Microsoft's component technology architecture (e.g. a way to string together pieces of reusable code). – Compiled, so it’s faster than Java, but not cross platform. – Unlike Java, it allows full access to the operating system (including file access commands). This means that ActiveX components are potentially less-secure than Java (easier to spread viruses, deploy malicious programs). Multi-user Systems Architecture • Architectures – enable the range of technical options (and hence business options) available to a firm – implications regarding cost, flexibility, security • Host / Terminal Model • Client / Server Model – fat clients – thin clients – three / n-tier model • P2P & Grid Computing Host / Terminal Model All programs & data are on the host (usually mainframe) Dumb terminals typically display only text sent from host. They do not perform any computing & don’t have a microprocessor. PCs can run terminal programs to act like dumb terminals & access hosts. Host / Terminal Model • Advantages – proven, reliable technology – less complexity (fewer vendors) – centralized security, version control, & backup • Disadvantages – costly hardware & software – aging technology – text-based interface difficult to use – applications are tightly integrated with database Client / Server Computing • Client – a program which makes request of another program, usually on another computer (e.g. web browser) – requests data or other action from servers • Server – a program (usually on another computer) that runs services that are shared among multiple client/users on a network (ex. E-mail server, web server, database server). – responds to client requests (delivers data, performs tasks) Client / Server Model Divide & Conquer PC executes client code client code makes a request Server executes server code & responds to request, holds data Share & Share Alike sales accounting wheels chemicals Client/Server • Advantages – easier to use (PC GUI) – faster to develop – database separate from applications (enables data integration across systems & reuse) – cheaper hardware (if PCs are in place) • Disadvantages – complex (multi-vendor), new technology (lowers reliability & raises maintenance costs) – security vulnerabilities – version control Variants of Client/Server Fat Clients client code stored (larger files, some business logic) client code executes Server (some b-logic) Data Thin Clients (NCs, browser apps.) client code stored Server (most b-logic) Data client code executes (smaller files, mostly GUI) Three-Tier (n-tier) Architecture client code executes (mostly GUI) b-logic Server Data palm back-end logic (shared or reused) pocket pc web southwestairlines.com dollar.com Data & Information Potentially a Key Source of Competitive Advantage Data, Information, & Knowledge • Data - raw facts, figures, and details. • Information - organized, meaningful, and useful interpretation of data. Has a context, answers a question. • Knowledge - an awareness and understanding of a set of information and how that information can be put to best use. • Many firms are data rich and info poor: victims of an old or poorly planned architecture Examples of Data, Information, & Knowledge Data: raw, no context 900,000 1,200,000 1,150,000 1,100,000 Information: meaningful, has context Quarter 1 Quarter 2 Post 900,000 1,150,000 Kellogg's 1,200,000 1,100,000 Knowledge: information above & other information creates an awareness of impact Post lowered its prices after the first quarter. Price change has caused Post sales to rise at the expense of Kellogg’s Types/Classifications of Information Systems Transaction Processing Systems (TPS) • A shared IS that uses a combination of IT and manual procedures to process data and information and to manage transactions. • Examples: Cash Registers (POS), ATM • Characteristics: – transactions are similar & repeatable – support multiple users in routine, everyday transactions (usually tactical systems) – data capture with possible report generation – accuracy is critical, TPS “feed” other IS Reporting Systems - MIS • Sometimes called Management Reporting Systems or Management Information Systems • Characteristics – use data captured and stored from TPS – reports consolidated information rather than details of transactions – supports reoccurring decisions – provides reports in pre-specified formats (on screen, printed, or data) Decision Support Systems (DSS) • Allow users interrogate computers on an ad hoc basis, analyze information, and predict the impact of decisions before they are made. [key: unstructured, user-led exploration] • Characteristics – Assists in ad-hoc decision making – Used when requirements, processes, or procedures are unstructured & aren’t known in advance – Provides info needed to define & solve a problem – Provides information in format determined at time of need Management Levels & IS Strategic Planning Management Control Operational Control DSS MIS TPS Expert Systems (ES) • An artificial intelligence system that uses captured human expertise to evaluate and solve problems • Characteristics: – diagnoses situations and/or recommends a course of action – problems are structured and repeatable – application scope is limited to a particular problem area (domain) Other Types of Artificial Intelligence (AI) • Neural Networks – hunt for patterns in historical data – build their own expertise based on prior history – require clean data & consistency between performance history and future events • Genetic Algorithms – search for optimal solutions based on natural selection: (1) propose solution (2) evaluate results against earlier solution (3) mutate & return to step 1 Keane’s Space Truss Design